CHAPTER 15
Straddles and Strangles
Straddles and strangles are the quintessential volatility strategies. They are the purest ways to buy and sell realized and implied volatility. This chapter discusses straddles and strangles, how they work, when to use them, what to look out for, and the differences between the two.
Long Straddle
Definition
: Buying one call and one put in the same option class, in the same expiration cycle, and with the same strike price.
Linearly, the long straddle is the best of both worlds—long a call and a put. If the stock rises, the call enjoys the unlimited potential for profit while the put’s losses are decidedly limited. If the stock falls, the put’s profit potential is bound only by the stock’s falling to zero, while the call’s potential loss is finite. Directionally, this can be a win-win situation—as long as the stock moves enough for one option’s profit to cover the loss on the other. The risk, however, is that this may not happen. Holding two long options means a big penalty can be paid for stagnant stocks.
The Basic Long Straddle
The long straddle is an option strategy to use when a trader is looking for a big move in a stock but is uncertain which direction it will move. Technically, the Commodity Channel Index (CCI), Bollinger bands, or pennants are some examples of indicators which might signal the possibility of a breakout. Or fundamental data might call for a revaluation of the stock based on an impending catalyst. In either case, a long straddle, is a way for traders to position themselves for the expected move, without regard to direction. In this example, we’ll study a hypothetical $70 stock poised for a breakout. We’ll buy the one-month 70 straddle for 4.25.
Exhibit 15.1
shows the payout of the straddle at expiration.
EXHIBIT 15.1
At-expiration diagram for a long straddle.
At expiration, with the stock at $70, neither the call nor the put is in-the-money. The straddle expires worthless, leaving a loss of 4.25 in its wake from erosion. If, however, the stock is above or below $70, either the call or the put will have at least some value. The farther the stock price moves from the strike price in either direction, the higher the net value of the options.
Above $70, the call has value. If the underlying is at $74.25 at expiration, the put will expire worthless, but the call will be worth 4.25—the price initially paid for the straddle. Above this break-even price, the trade is a winner, and the higher, the better. Below $70, the put has value. If the underlying is at $65.75 at expiration, the call expires, and the put is worth 4.25. Below this breakeven, the straddle is a winner, and the lower, the better.
Why It Works
In this basic example, if the underlying is beyond either of the break-even points at expiration, the trade is a winner. The key to understanding this is the fact that at expiration, the loss on one option is limited—it can only fall to zero—but the profit potential on the other can be unlimited.
In practice, most active traders will not hold a straddle until expiration. Even if the trade is not held to term, however, movement is still beneficial—in fact, it is more beneficial, because time decay will not have depleted all the extrinsic value of the options. Movement benefits the long straddle because of positive gamma. But movement is a race against the clock—a race against theta. Theta is the cost of trading the long straddle. Only pay it for as long as necessary. When the stock’s volatility appears poised to ebb, exit the trade.
Exhibit 15.2
shows the P&(L) of the straddle both at expiration and at the time the trade was made.
EXHIBIT 15.2
Long straddle P&(L) at initiation and expiration.
Because this is a short-term at-the-money (ATM) straddle, we will assume for simplicity that it has a delta of zero.
1
When the trade is consummated, movement can only help, as indicated by the dotted line on the exhibit. This is the classic graphic representation of positive gamma—the smiley face. When the stock moves higher, the call gains value at an increasing rate while the put loses value at a decreasing rate. When the stock moves lower, the put gains at an increasing rate while the call loses at a decreasing rate. This is positive gamma.
This still may not be an entirely fair representation of how profits are earned. The underlying is not required to move continuously in one direction for traders to reap gamma profits. As described in Chapter 13, traders can scalp gamma by buying and selling stock to offset long or short deltas created by movement in the underlying. When traders scalp gamma, they lock in profits as the stock price oscillates.
The potential for gamma scalping is an important motivation for straddle buyers. Gamma scalping a straddle gives traders the chance to profit from a stock that has dynamic price swings. It should be second nature to volatility traders to understand that theta is the trade-off of gamma scalping.
The Big V
Gamma and theta a

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scalping is an important motivation for straddle buyers. Gamma scalping a straddle gives traders the chance to profit from a stock that has dynamic price swings. It should be second nature to volatility traders to understand that theta is the trade-off of gamma scalping.
The Big V
Gamma and theta are not alone in the straddle buyer’s thoughts. Vega is a major consideration for a straddle buyer, as well. In a straddle, there are two long options of the same strike, which means double the vega risk of a single-leg trade at that strike. With no short options in this spread, the implied-volatility exposure is concentrated. For example, if the call has a vega of 0.05, the put’s vega at that same strike will also be about 0.05. This means that buying one straddle gives the trader exposure of around 10 cents per implied volatility (IV) point. If IV rises by one point, the trader makes $10 per one-lot straddle, $20 for two points, and so on. If IV falls one point, the trader loses $10 per straddle, $20 for two points, and so on. Traders who want maximum positive exposure to volatility find it in long straddles.
This strategy is a prime example of the marriage of implied and realized volatility. Traders who buy straddles because they are bullish on realized volatility will also have bullish positions in implied volatility—like it or not. With this in mind, traders must take care to buy gamma via a straddle that it is not too expensive in terms of the implied volatility. A winning gamma trade can quickly become a loser because of implied volatility. Likewise, traders buying straddles to speculate on an increase in implied volatility must take the theta risk of the trade very seriously. Time can eat away all a trade’s vega profits and more. Realized and implied exposure go hand in hand.
The relationship between gamma and vega depends on, among other things, the time to expiration. Traders have some control over the amount of gamma relative to the amount of vega by choosing which expiration month to trade. The shorter the time until expiration, the higher the gammas and the lower the vegas of ATM options. Gamma traders may be better served by buying short-term contracts that coincide with the period of perceived high stock volatility.
If the intent of the straddle is to profit from vega, the choice of the month to trade depends on which month’s volatility is perceived to be too high or too low. If, for example, the front-month IV looks low compared with historical IV, current and historical realized volatility, and the expected future volatility, but the back months’ IVs are higher and more in line with these other metrics, there would be no point in buying the back-month options. In this case, traders would need to buy the month that they think is cheap.
Trading the Long Straddle
Option trading is all about optimizing the statistical chances of success. A long-straddle trade makes the most sense if traders think they can make money on both implied volatility and gamma. Many traders make the mistake of buying a straddle just before earnings are announced because they anticipate a big move in the stock. Of course, stock-price action is only half the story. The option premium can be extraordinarily expensive just before earnings, because the stock move is priced into the options. This is buying after the rush and before the crush. Although some traders are successful specializing in trading earnings, this is a hard way to make money.
Ideally, the best time to buy volatility is before the move is priced in—that is, before everyone else does. This is conceptually the same as buying a stock in anticipation of bullish news. Once news comes out, the stock rallies, and it is often too late to participate in profits. The goal is to get in at the beginning of the trend, not the end—the same goal as in trading volatility.
As in analyzing a stock, fundamental and technical tools exist for analyzing volatility—namely, news and volatility charts. For fundamentals, buy the rumor, sell the news applies to the rush and crush of implied volatility. Previous chapters discussed fundamental events that affect volatility; be prepared to act fast when volatility-changing situations present themselves. With charts, the elementary concept of buy low, sell high is obvious, yet profound. Review Chapter 14 for guidance on reading volatility charts.
With all trading, getting in is easy. It’s managing the position, deciding when to hedge and when to get out that is the tricky part. This is especially true with the long straddle. Straddles are intended to be actively managed. Instead of waiting for a big linear move to evolve over time, traders can take profits intermittently through gamma scalping. Furthermore, they hold the trade only as long as gamma scalping appears to be a promising opportunity.
Legging Out
There are many ways to exiting a straddle. In the right circumstances, legging out is the preferred method. Instead of buying and selling


profits intermittently through gamma scalping. Furthermore, they hold the trade only as long as gamma scalping appears to be a promising opportunity.
Legging Out
There are many ways to exiting a straddle. In the right circumstances, legging out is the preferred method. Instead of buying and selling stock to lock in profits and maintain delta neutrality, traders can reduce their positions by selling off some of the calls or puts that are part of the straddle. In this technique, when the underlying rises, traders sell as many calls as needed to reduce the delta to zero. As the underlying falls, they sell enough puts to reduce their position to zero delta. As the stock oscillates, they whittle away at the position with each hedging transaction. This serves the dual purpose of taking profits and reducing risk.
A trader, Susan, has been studying Acme Brokerage Co. (ABC). Susan has noticed that brokerage stocks have been fairly volatile in recent past.
Exhibit 15.3
shows an analysis of Acme’s volatility over the past 30 days.
EXHIBIT 15.3
Acme Brokerage Co. volatility.
Stock Price
Realized Volatility
Front-Month Implied Volatility
30-day high $78.66
30-day high 47%
30-day high 55%
30-day low $66.94
30-day low 36%
30-day low 34%
Current px $74.80
Current vol 36%
Current vol 36%
During this period, Acme stock ranged more than $11 in price. In this example, Acme’s volatility is a function of interest rate concerns and other macroeconomic issues affecting the brokerage industry as a whole. As the stock price begins to level off in the latter half of the 30-day period, realized volatility begins to ebb. The front month’s IV recedes toward recent lows as well. At this point, both realized and implied volatility converge at 36 percent. Although volatility is at its low for the past month, it is still relatively high for a brokerage stock under normal market conditions.
Susan does not believe that the volatility plaguing this stock is over. She believes that an upcoming scheduled Federal Reserve Board announcement will lead to more volatility. She perceives this to be a volatility-buying opportunity. Effectively, she wants to buy volatility on the dip. Susan pays 5.75 for 20 July 75-strike straddles.
Exhibit 15.4
shows the analytics of this trade with four weeks until expiration.
EXHIBIT 15.4
Analytics for long 20 Acme Brokerage Co. 75-strike straddles.
As with any trade, the risk is that the trader is wrong. The risk here is indicated by the −2.07 theta and the +3.35 vega. Susan has to scalp an average of at least $207 a day just to break even against the time decay. And if IV continues to ebb down to a lower, more historically normal, level, she needs to scalp even more to make up for vega losses.
Effectively, Susan wants both realized and implied volatility to rise. She paid 36 volatility for the straddle. She wants to be able to sell the options at a higher vol than 36. In the interim, she needs to cover her decay just to break even. But in this case, she thinks the stock will be volatile enough to cover decay and then some. If Acme moves at a volatility greater than 36, her chances of scalping profitably are more favorable than if it moves at less than 36 vol. The following is one possible scenario of what might have happened over two weeks after the trade was made.
Week One
During the first week, the stock’s volatility tapered off a bit more, but implied volatility stayed firm. After some oscillation, the realized volatility ended the week at 34 percent while IV remained at 36 percent. Susan was able to scalp stock reasonably well, although she still didn’t cover her seven days of theta. Her stock buys and sells netted a gain of $1,100. By the end of week one, the straddle was 5.10 bid. If she had sold the straddle at the market, she would have ended up losing $200.
Susan decided to hold her position. Toward the end of week two, there would be the Federal Open Market Committee (FOMC) meeting.
Week Two
The beginning of the week saw IV rise as the event drew near. By the close on Tuesday, implied volatility for the straddle was 40 percent. But realized volatility continued its decline, which meant Susan was not able to scalp to cover the theta of Saturday, Sunday, Monday, and Tuesday. But, the straddle was now 5.20 bid, 0.10 higher than it had been on previous Friday. The rising IV made up for most of the theta loss. At this point, Susan could have sold her straddle to scratch her trade. She would have lost $1,100 on the straddle [(5.20 − 5.75) × 20] but made $1,100 by scalping gamma in the first week. Susan decided to wait and see what the Fed chairman had to say.
By week’s end, the trade had proved to be profitable. After the FOMC meeting, the stock shot up more than $4 and just as quickly fell. It continued to bounce around a bit for the rest of the week. Susan was able to lock in $5,200 from stock scalps. After much gyration over this two-week period, the price of Acme stock incidentally returned to around the sa


r the FOMC meeting, the stock shot up more than $4 and just as quickly fell. It continued to bounce around a bit for the rest of the week. Susan was able to lock in $5,200 from stock scalps. After much gyration over this two-week period, the price of Acme stock incidentally returned to around the same price it had been at when Susan bought her straddle: $74.50. As might have been expected after the announcement, implied volatility softened. By Friday, IV had fallen to 30. Realized volatility was sharply higher as a result of the big moves during the week that were factored into the 30-day calculation.
With seven more days of decay and a lower implied volatility, the straddle was 3.50 bid at midafternoon on Friday. Susan sold her 20-lot to close the position. Her profit for week two was $2,000.
What went into Susan’s decision to close her position? Susan had two objectives: to profit from a rise in implied volatility and to profit from a rise in realized volatility. The rise in IV did indeed occur, but not immediately. By Tuesday of the second week, vega profits were overshadowed by theta losses.
Gamma was the saving grace with this trade. The bulk of the gain occurred in week two when the Fed announcement was made. Once that event passed, the prospects for covering theta looked less attractive. They were further dimmed by the sharp drop in implied volatility from 40 to 30.
In this hypothetical scenario, the trade ended up profitable. This is not always the case. Here the profit was chiefly produced by one or two high-volatility days. Had the stock not been unusually volatile during this time, the trade would have been a certain loser. Even though implied volatility had risen four points by Tuesday of the second week, the trade did not yield a profit. The time decay of holding two options can make long straddles a tough strategy to trade.
Short Straddle
Definition
: Selling one call and one put in the same option class, in the same expiration cycle, and with the same strike price.
Just as buying a straddle is a pure way to buy volatility, selling a straddle is a way to short it. When a trader’s forecast calls for lower implied and realized volatility, a straddle generates the highest returns of all volatility-selling strategies. Of course, with high reward necessarily comes high risk. A short straddle is one of the riskiest positions to trade.
Let’s look at a one-month 70-strike straddle sold at 4.25.
The risk is easily represented graphically by means of a P&(L) diagram.
Exhibit 15.5
shows the risk and reward of this short straddle.
EXHIBIT 15.5
Short straddle P&(L) at initiation and expiration.
If the straddle is held until expiration and the underlying is trading below the strike price, the short put is in-the-money (ITM). The lower the stock, the greater the loss on the +1.00 delta from the put. The trade as a whole will be a loser if the underlying is below the lower of the two break-even points—in this case $65.75. This point is found by subtracting the premium received from the strike. Before expiration, negative gamma adversely affects profits as the underlying falls. The lower the underlying is trading below the strike price, the greater the drain on P&(L) due to the positive delta of the short put.
It is the same proposition if the underlying is above $70 at expiration. But in this case, it is the short call that would be in-the-money. The higher the underlying price, the more the −1.00 delta adversely impacts P&(L). If at expiration the underlying is above the higher breakeven, which in this case is $74.25 (the strike plus the premium), the trade is a loser. The higher the underlying, the worse off the trade. Before expiration, negative gamma creates negative deltas as the underlying climbs above the strike, eating away at the potential profit, which is the net premium received.
The best-case scenario is that the underlying is right at $70 at the closing bell on expiration Friday. In this situation, neither option is ITM, meaning that the 4.25 premium is all profit. In reaping the maximum profit, both time and price play roles. If the position is closed before expiration, implied volatility enters into the picture as well.
It’s important to note that just because neither option is ITM if the underlying is right at $70 at expiration, it doesn’t mean with certainty that neither option will be assigned. Sometimes options that are ATM or even out-of-the-money (OTM) get assigned. This can lead to a pleasant or unpleasant surprise the Monday morning following expiration. The risk of not knowing whether or not you will be assigned—that is, whether or not you have a position in the underlying security—is a risk to be avoided. It is the goal of every trader to remove unnecessary risk from the equation. Buying the call and the put for 0.05 or 0.10 to close the position is a small price to pay when one considers the possibility of waking up Monday morning to find a loss of hundreds of dollars per contract be


to be avoided. It is the goal of every trader to remove unnecessary risk from the equation. Buying the call and the put for 0.05 or 0.10 to close the position is a small price to pay when one considers the possibility of waking up Monday morning to find a loss of hundreds of dollars per contract because a position you didn’t even know you owned had moved against you. Most traders avoid this risk, referred to as pin risk, by closing short options before expiration.
The Risks with Short Straddles
Looking at an at-expiration diagram or even analyzing the gamma/theta relationship of a short straddle may sometimes lead to a false sense of comfort. Sometimes it looks as if short straddles need a pretty big move to lose a lot of money. So why are they definitely among the riskiest strategies to trade? That is a matter of perspective.
Option trading is about risk management. Dealing with a proverbial train wreck every once in a while is part of the game. But the big disasters can end one’s trading career in an instant. Because of its potential—albeit sometimes small potential—for a colossal blowup, the short straddle is, indeed, one of the riskiest positions one can trade. That said, it has a place in the arsenal of option strategies for speculative traders.
Trading the Short Straddle
A short straddle is a trade for highly speculative traders who think a security will trade within a defined range and that implied volatility is too high. While a long straddle needs to be actively traded, a short straddle needs to be actively monitored to guard against negative gamma. As adverse deltas get bigger because of stock price movement, traders have to be on alert, ready to neutralize directional risk by offsetting the delta with stock or by legging out of the options. To be sure, with a short straddle, every stock trade locks in a loss with the intent of stemming future losses. The ideal situation is that the straddle is held until expiration and expires with the underlying right at $70 with no negative-gamma scalping.
Short-straddle traders must take a longer-term view of their positions than long-straddle traders. Often with short straddles, it is ultimately time that provides the payout. While long straddle traders would be inclined to watch gamma and theta very closely to see how much movement is required to cover each day’s erosion, short straddlers are more inclined to focus on the at-expiration diagram so as not to lose sight of the end game.
There are some situations that are exceptions to this long-term focus. For example, when implied volatility gets to be extremely high for a particular option class relative to both the underlying stock’s volatility and the historical implied volatility, one may want to sell a straddle to profit from a fall in IV. This can lead to leveraged short-term profits if implied volatility does, indeed, decline.
Because of the fact that there are two short options involved, these straddles administer a concentrated dose of negative vega. For those willing to bet big on a decline in implied volatility, a short straddle is an eager croupier. These trades are delta neutral and double the vega of a single-leg trade. But they’re double the gamma, too. As with the long straddle, realized and implied volatility levels are both important to watch.
Short-Straddle Example
For this example, a trader, John, has been watching Federal XYZ Corp. (XYZ) for a year. During the 12 months that John has followed XYZ, its front-month implied volatility has typically traded at around 20 percent, and its realized volatility has fluctuated between 15 and 20 percent. The past 30 days, however, have been a bit more volatile.
Exhibit 15.6
shows XYZ’s recent volatility.
EXHIBIT 15.6
XYZ volatility.
Stock Price
Realized Volatility
Front-Month Implied Volatility
30-day high $111.71
30-day high 26%
30-day high 30%
30-day low $102.05
30-day low 21%
30-day low 24%
Current px $104.75
Current vol 22%
Current vol 26%
The stock volatility has begun to ease, trading now at a 22 volatility compared with the 30-day high of 26, but still not down to the usual 15-to-20 range. The stock, in this scenario, has traded in a channel. It currently lies in the lower half of its recent range. Although the current front-month implied volatility is in the lower half of its 30-day range, it’s historically high compared with the 20 percent level that John has been used to seeing, and it’s still four points above the realized volatility. John believes that the conditions that led to the recent surge in volatility are no longer present. His forecast is for the stock volatility to continue to ease and for implied volatility to continue its downtrend as well and revert to its long-term mean over the next week or two. John sells 10 September 105 straddles at 5.40.
Exhibit 15.7
shows the greeks for this trade.
EXHIBIT 15.7
Greeks for short XYZ straddle.
The goal here is for implied volatility to fall to around 20. If it does, John makes $1,254 (6


as well and revert to its long-term mean over the next week or two. John sells 10 September 105 straddles at 5.40.
Exhibit 15.7
shows the greeks for this trade.
EXHIBIT 15.7
Greeks for short XYZ straddle.
The goal here is for implied volatility to fall to around 20. If it does, John makes $1,254 (6 vol points × 2.09 vega). He also thinks theta gains will outpace gamma losses. The following is a two-week examination of one possible outcome for John’s trade.
Week One
The first week in this example was a profitable one, but it came with challenges. John paid for his winnings with a few sleepless nights. On the Monday following his entry into the trade, the stock rose to $106. While John collected a weekend’s worth of time decay, the $1.25 jump in stock price ate into some of those profits and naturally made him uneasy about the future.
At this point, John was sitting on a profit, but his position delta began to grow negative, to around −1.22 [(–1.18 × 1.25) + 0.26]. For a $104.75 stock, a move of $1.25—or just over 1 percent—is not out of the ordinary, but it put John on his guard. He decided to wait and see what happened before hedging.
The following day, the rally continued. The stock was at $107.30 by noon. His delta was around −3. In the face of an increasingly negative delta, John weighed his alternatives: He could buy back some of his calls to offset his delta, which would have the added benefit of reducing his gamma as well. He could buy stock to flatten out. Lastly, he could simply do nothing and wait. John felt the stock was overbought and might retrace. He also still believed volatility would fall. He decided to be patient and enter a stop order to buy all of his deltas at $107.50 in case the stock continued trending up. The XYZ shares closed at $107.45 that day.
This time inaction proved to be the best action. The stock did retrace. Week one ended with Federal XYZ back down around $105.50. The IV of the straddle was at 23. The straddle finished up week one offered at $4.10.
Week Two
The future was looking bright at the start of week two until Wednesday. Wednesday morning saw XYZ gap open to $109. When you have a short straddle, a $3.50 gap move in the underlying tends to instantly give you a sinking feeling in the pit of your stomach. But the damage was truly not that bad. The offer in the straddle was 4.75, so the position was still a winner if John bought it back at this point.
Gamma/delta hurt. Theta helped. A characteristic that enters into this trade is volatility’s changing as a result of movement in the stock price. Despite the fact that the stock gapped $3.50 higher, implied volatility fell by 1 percent, to 22. This volatility reaction to the underlying’s rise in price is very common in many equity and index options. John decided to close the trade. Nobody ever went broke taking a profit.
The trade in this example was profitable. Of course, this will not always be the case. Sometimes short straddles will be losers—sometimes big ones. Big moves and rising implied volatility can be perilous to short straddles and their writers. If the XYZ stock in the previous example had gapped up to $115—which is not an unreasonable possibility—John’s trade would have been ugly.
Synthetic Straddles
Straddles are the pet strategy of certain professional traders who specialize in trading volatility. In fact, in the mind of many of these traders, a straddle is all there is. Any single-legged trade can be turned into a straddle synthetically simply by adding stock.
Chapter 6 discussed put-call parity and showed that, for all intents and purposes, a put is a call and a call is a put. For the most part, the greeks of the options in the put-call pair are essentially the same. The delta is the only real difference. And, of course, that can be easily corrected. As a matter of perspective, one can make the case that buying two calls is essentially the same as buying a call and a put, once stock enters into the equation.
Take a non-dividend-paying stock trading at $40 a share. With 60 days until expiration, a 25 volatility, and a 4 percent interest rate, the greeks of the 40-strike calls and puts of the straddle are as follows:
Essentially, the same position can be created by buying one leg of the spread synthetically. For example, in addition to buying one 40 call, another 40 call can be purchased along with shorting 100 shares of stock to create a 40 put synthetically.
Combined, the long call and the synthetic long put (long call plus short stock) creates a synthetic straddle. A long synthetic straddle could have similarly been constructed with a long put and a long synthetic call (long put plus long stock). Furthermore, a short synthetic straddle could be created by selling an option with its synthetic pair.
Notice the similarities between the greeks of the two positions. The synthetic straddle functions about the same as a conventional straddle. Because the delta and gamma are nearly the same, the up-and-down risk


short synthetic straddle could be created by selling an option with its synthetic pair.
Notice the similarities between the greeks of the two positions. The synthetic straddle functions about the same as a conventional straddle. Because the delta and gamma are nearly the same, the up-and-down risk is nearly the same. Time and volatility likewise affect the two trades about the same. The only real difference is that the synthetic straddle might require a bit more cash up front, because it requires buying or shorting the stock. In practice, straddles will typically be traded in accounts with retail portfolio margining or professional margin requirements (which can be similar to retail portfolio margining). So the cost of the long stock or margin for short stock is comparatively small.
Long Strangle
Definition
: Buying one call and one put in the same option class, in the same expiration cycle, but with different strike prices. Typical long strangles involve an OTM call and an OTM put. A strangle in which an ITM call and an ITM put are purchased is called a long guts strangle.
A long strangle is similar to a long straddle in many ways. They both require buying a call and a put on the same class in the same expiration month. They are both buying volatility. There are, however, some functional differences. These differences stem from the fact that the options have different strike prices.
Because there is distance between the strike prices, from an at-expiration perspective, the underlying must move more for the trade to show a profit.
Exhibit 15.8
illustrates the payout of options as part of a long strangle on a $70 stock. The graph is much like that of
Exhibit 15.1
, which shows the payout of a long straddle. But the net cost here is only 1.00, compared with 4.25 for the straddle with the same time and volatility inputs. The cost is lower because this trade consists of OTM options instead of ATM options. The breakdown is as follows:
EXHIBIT 15.8
Long strangle at-expiration diagram.
The underlying has a bit farther to go by expiration for the trade to have value. If the underlying is above $75 at expiration, the call is ITM and has value. If the underlying is below $65 at expiration, the put is ITM and has value. If the underlying is between the two strike prices at expiration both options expire and the 1.00 premium is lost.
An important difference between a straddle and a strangle is that if a strangle is held until expiration, its break-even points are farther apart than those of a comparable straddle. The 70-strike straddle in
Exhibit 15.1
had a lower breakeven of $65.75 and an upper break-even of $74.25. The comparable strangle in this example has break-even prices of $64 and $76.
But what if the strangle is not held until expiration? Then the trade’s greeks must be analyzed. Intuitively, two OTM options (or ITM ones, for that matter) will have lower gamma, theta, and vega than two comparable ATM options. This has a two-handed implication when comparing straddles and strangles.
On the one hand, from a realized volatility perspective, lower gamma means the underlying must move more than it would have to for a straddle to produce the same dollar gain per spread, even intraday. But on the other hand, lower theta means the underlying doesn’t have to move as much to cover decay. A lower nominal profit but a higher percentage profit is generally reaped by strangles as compared with straddles.
A long strangle composed of two OTM options will also give positive exposure to implied volatility but, again, not as much as an ATM straddle would. Positive vega really kicks in when the underlying is close to one of the strike prices. This is important when anticipating changes in the stock price and in IV.
Say a trader expects implied volatility to rise as a result of higher stock volatility. As the stock rises or falls, the strangle will move toward the price point that offers the highest vega (the strike). With a straddle, the stock will be moving away from the point with the highest vega. If the stock doesn’t move as anticipated, the lower theta and vega of the strangle compared with the ATM straddle have a less adverse effect on P&L.
Long-Strangle Example
Let’s return to Susan, who earlier in this chapter bought a straddle on Acme Brokerage Co. (ABC). Acme currently trades at $74.80 a share with current realized volatility at 36 percent. The stock’s volatility range for the past month was between 36 and 47. The implied volatility of the four-week options is 36 percent. The range over the past month for the IV of the front month has been between 34 and 55.
As in the long-straddle example earlier in this chapter, there is a great deal of uncertainty in brokerage stocks revolving around interest rates, credit-default problems, and other economic issues. An FOMC meeting is expected in about one week’s time about whose possible actions analysts’ estimates vary greatly, from a cut of 50 basis points to no cut at all. Add


great deal of uncertainty in brokerage stocks revolving around interest rates, credit-default problems, and other economic issues. An FOMC meeting is expected in about one week’s time about whose possible actions analysts’ estimates vary greatly, from a cut of 50 basis points to no cut at all. Add a pending earnings release to the docket, and Susan thinks Acme may move quite a bit.
In this case, however, instead of buying the 75-strike straddle, Susan pays 2.35 for 20 one-month 70–80 strangles.
Exhibit 15.9
compares the greeks of the long ATM straddle with those of the long strangle.
EXHIBIT 15.9
Long straddle versus long strangle.
The cost of the strangle, at 2.35, is about 40 percent of the cost of the straddle. Of course, with two long options in each trade, both have positive gamma and vega and negative theta, but the exposure to each metric is less with the strangle. Assuming the same stock-price action, a strangle would enjoy profits from movement and losses from lack of movement that were similar to those of a straddle—just nominally less extreme.
For example, if Acme stock rallies $5, from $74.80 to $79.80, the gamma of the 75 straddle will grow the delta favorably, generating a gain of 1.50, or about 25 percent. The 70–80 strangle will make 1.15 from the curvature of the delta–almost a 50 percent gain.
With the straddle and especially the strangle, there is one more detail to factor in when considering potential P&L: IV changes due to stock price movement. IV is likely to fall as the stock rallies and rise as the stock declines. The profits of both the long straddle and the long strangle would likely be adversely affected by IV changes as the stock rose toward $79.80. And because the stock would be moving away from the straddle strike and toward one of the strangle strikes, the vegas would tend to become more similar for the two trades. The straddle in this example would have a vega of 2.66, while the strangle’s vega would be 2.67 with the underlying at $79.80 per share.
Short Strangle
Definition
: Selling one call and one put in the same option class, in the same expiration cycle, but with different strike prices. Typically, an OTM call and an OTM put are sold. A strangle in which an ITM call and an ITM put are sold is called a short guts strangle.
A short strangle is a volatility-selling strategy, like the short straddle. But with the short strangle, the strikes are farther apart, leaving more room for error. With these types of strategies, movement is the enemy. Wiggle room is the important difference between the short-strangle and short-straddle strategies. Of course, the trade-off for a higher chance of success is lower option premium.
Exhibit 15.10
shows the at-expiration diagram of a short strangle sold at 1.00, using the same options as in the diagram for the long strangle.
EXHIBIT 15.10
Short strangle at-expiration diagram.
Note that if the underlying is between the two strike prices, the maximum gain of 1.00 is harvested. With the stock below $65 at expiration, the short put is ITM, with a +1.00 delta. If the stock price is below the lower breakeven of $64 (the put strike minus the premium), the trade is a loser. The lower the stock, the bigger the loss. If the underlying is above $75, the short call is ITM, with a −1.00 delta. If the stock is above the upper breakeven of $76 (the call strike plus the premium), the trade is a loser. The higher the stock, the bigger the loss.
Intuitively, the signs of the greeks of this strangle should be similar to those of a short straddle—negative gamma and vega, positive theta. That means that increased realized volatility hurts. Rising IV hurts. And time heals all wounds—unless, of course, the wounds caused by gamma are greater than the net premium received.
This brings us to an important philosophical perspective that emphasizes the differences between long straddles and strangles and their short counterparts. Losses from rising vega are temporary; the time value of all options will be zero at expiration. But gamma losses can be permanent and profound. These short strategies have limited profit potential and unlimited loss potential. Although short-term profits (or losses) can result from IV changes, the real goal here is to capture theta.
Short-Strangle Example
Let’s revisit John, a Federal XYZ (XYZ) trader. XYZ is at $104.75 in this example, with an implied volatility of 26 percent and a stock volatility of 22. Both implied and realized volatility are higher than has been typical during the past twelve months. John wants to sell volatility. In this example, he believes the stock price will remain in a fairly tight range, causing realized volatility to revert to its normal level, in this case between 15 and 20 percent.
He does everything possible to ensure success. This includes scanning the news headlines on XYZ and its financials for a reason not to sell volatility. Playing devil’s advocate with oneself can uncover unforeseen yet valid reasons to


evert to its normal level, in this case between 15 and 20 percent.
He does everything possible to ensure success. This includes scanning the news headlines on XYZ and its financials for a reason not to sell volatility. Playing devil’s advocate with oneself can uncover unforeseen yet valid reasons to avoid making bad trades. John also notes the recent price range, which has been between $111.71 and $102.05 over the past month. Once John commits to an outlook on the stock, he wants to set himself up for maximum gain if he’s right and, for that matter, to maximize his chances of being right. In this case, he decides to sell a strangle to give himself as much margin for error as possible. He sells 10 three-week 100–110 strangles at 1.80.
Exhibit 15.11
compares the greeks of this strangle with those of the 105 straddle.
EXHIBIT 15.11
Short straddle vs. short strangle.
As expected, the strangle’s greeks are comparable to the straddle’s but of less magnitude. If John’s intention were to capture a drop in IV, he’d be better off selling the bigger vega of the straddle. Here, though, he wants to see the premium at zero at expiration, so the strangle serves his purposes better. What he is most concerned about are the breakevens—in this case, 98.20 and 111.8. The straddle has closer break-even points, of $99.60 and $110.40.
Despite the fact that in this case, John is not really trading the greeks or IV per se, they still play an important role in his trade. First, he can use theta to plan the best strangle to trade. In this case, he sells the three-week strangle because it has the highest theta of the available months. The second month strangle has a −0.71 theta, and the third month has a −0.58 theta. With strangles, because the options are OTM, this disparity in theta among the tradable months may not always be the case. But for this trade, if he is still bearish on realized volatility after expiration, John can sell the next month when these options expire.
Certainly, he will monitor his risk by watching delta and gamma. These are his best measures of directional exposure. He will consider implied volatility in the decision-making process, too. An implied volatility significantly higher than the realized volatility can be a red flag that the market expects something to happen, but there’s a bigger payoff if there is no significant volatility. An IV significantly lower than the realized can indicate the risk of selling options too cheaply: the premium received is not high enough, based on how much the stock has been moving. Ideally, the IV should be above the realized volatility by between 2 and 20 percent, perhaps more for highly speculative traders.
Limiting Risk
The trouble with short straddles and strangles is that every once in a while the stock unexpectedly reacts violently, moving by three or more standard deviations. This occurs when there is a takeover, an extreme political event, a legal action, or some other extraordinary incident. These events can be guarded against by buying farther OTM options for protection. Essentially, instead of selling a straddle or a strangle, one sells an iron butterfly or iron condor. Then, when disaster strikes, it’s not a complete catastrophe.
How Cheap Is Too Cheap?
At some point, the absolute premium simply is not worth the risk of the trade. For example, it would be unwise to sell a two-month 45–55 strangle for 0.10 no matter what the realized volatility was. With the knowledge that there is always a chance for a big move, it’s hard to justify risking dollars to make a dime.
Note
1
. This depends on interest, dividends, and time to expiration. The delta will likely not be exactly zero.


CHAPTER 16
Ratio Spreads and Complex Spreads
The purpose of spreading is to reduce risk. Buying one contract and selling another can reduce some or all of a trade’s risks, as measured by the greeks, compared with simply holding an outright option. But creative traders have the ability to exercise great control over their greeks risk. They can practically eliminate risk in some greeks, while retaining risks in just the desired greeks. To do so, traders may have to use more complex, and less conventional spreads. These spreads often involve buying or selling options in quantities other than one-to-one ratios.
Ratio Spreads
The simplest versions of these strategies used by retail traders, institutional traders, proprietary traders, and others are referred to as
ratio spreads
. In ratio spreads, options are bought and sold in quantities based on a ratio. For example, a 1:3 spread is when one option is bought (or sold) and three are sold (or bought)—a ratio of one to three. This kind of ratio spread would be called a “one-by-three.”
However, some option positions can get a lot more complicated. Market makers and other professional traders manage a complex inventory of long and short options. These types of strategies go way beyond simple at-expiration diagrams. This chapter will discuss the two most common types of ratio spreads—backspreads and ratio vertical spreads—and also the delta-neutral position management of market makers and other professional traders.
Backspreads
Definition
: An option strategy consisting of more long options than short options having the same expiration month. Typically, the trader is long calls (or puts) in one series of options and short a fewer number of calls (or puts) in another series with the same expiration month in the same option class. Some traders, such as market makers, refer generically to any delta-neutral long-gamma position as a backspread.
Shades of Gray
In its simplest form, trading a backspread is trading a one-by-two call or put spread and holding it until expiration in hopes that the underlying stock’s price will make a big move, particularly in the more favorable direction. But holding a backspread to expiration as described has its challenges. Let’s look at a hypothetical example of a backspread held to term and its at-expiration diagram.
With the stock at $71 and one month until March expiration:
In this example, there is a credit of 3.20 from the sale of the 70 call and a debit of 1.10 for each of the two 75 calls. This yields a total net credit of 1.00 (3.20 − 1.10 − 1.10). Let’s consider how this trade performs if it is held until expiration.
If the stock falls below $70 at expiration, all the calls expire and the 1.00 credit is all profit. If the stock is between $70 and $75 at expiration, the 70 call is in-the-money (ITM) and the −1.00 delta starts racking up losses above the breakeven of $71 (the strike plus the credit). At $75 a share this trade suffers its maximum potential loss of $4. If the stock is above $75 at expiration, the 75 calls are ITM. The net delta of +1.00, resulting from the +2.00 deltas of the 75 calls along with the −1.00 delta of the 70 call, makes money as the stock rises. To the upside, the trade is profitable once the stock is at a high enough price for the gain on the two 75 calls to make up for the loss on the 70 call. In this case, the breakeven is $79 (the $4 maximum potential loss plus the strike price of 75).
While it’s good to understand this at-expiration view of this trade, this diagram is a bit misleading. What does the trader of this spread want to have happen? If the trader is bearish, he could find a better way to trade his view than this, which limits his gains to 1.00—he could buy a put. If the trader believes the stock will make a volatile move in either direction, the backspread offers a decidedly limited opportunity to the downside. A straddle or strangle might be a better choice. And if the trader is bullish, he would have to be very bullish for this trade to make sense. The underlying needs to rise above $79 just to break even. If instead he just bought 2 of the 75 calls for 1.10, the maximum risk would be 2.20 instead of 4, the breakeven would be $77.20 instead of $79, and profits at expiration would rack up twice as fast above the breakeven, since the trader is net long two calls instead of one. Why would a trader ever choose to trade a backspread?
EXHIBIT 16.1
Backspread at expiration.
The backspread is a complex spread that can be fully appreciated only when one has a thorough knowledge of options. Instead of waiting patiently until expiration, an experienced backspreader is more likely to gamma scalp intermittent opportunities. This requires trading a large enough position to make scalping worthwhile. It also requires appropriate margining (either professional-level margin requirements or retail portfolio margining). For example, this 1:2 contract backspread has a delta of −0.02 and a gamma of +0.05. Fewer

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opportunities. This requires trading a large enough position to make scalping worthwhile. It also requires appropriate margining (either professional-level margin requirements or retail portfolio margining). For example, this 1:2 contract backspread has a delta of −0.02 and a gamma of +0.05. Fewer than 10 deltas could be scalped if the stock moves up and down by one point. It becomes a more practical trade as the position size increases. Of course, more practical doesn’t necessarily guarantee it will be more profitable. The market must cooperate!
Backspread Example
Let’s say a 20:40 contract backspread is traded. (
Note
: In trader lingo this is still called a one-by-two; it is just traded 20 times.) The spread price is still 1.00 credit per contract; in this case, that’s $2,000. But with this type of trade, the spread price is not the best measure of risk or reward, as it is with some other kinds of spreads. Risk and reward are best measured by delta, gamma, theta, and vega.
Exhibit 16.2
shows this trade’s greeks.
EXHIBIT 16.2
Greeks for 20:40 backspread with the underlying at $71.
Backspreads are volatility plays. This spread has a +1.07 vega with the stock at $71. It is, therefore, a bullish implied volatility (IV) play. The IV of the long calls, the 75s, is 30 percent, and that of the 70s is 32 percent. Much as with any other volatility trade, traders would compare current implied volatility with realized volatility and the implied volatility of recent past and consider any catalysts that might affect stock volatility. The objective is to buy an IV that is lower than the expected future stock volatility, based on all available data. The focus of traders of this backspread is not the dollar credit earned. They are more interested in buying a 30 volatility—that’s the focus.
But the 75 calls’ IV is not the only volatility figure to consider. The short options, the 70s, have implied volatility of 32 percent. Because of their lower strike, the IV is naturally higher for the 70 calls. This is vertical skew and is described in Chapter 3. The phenomenon of lower strikes in the same option class and with the same expiration month having higher IV is very common, although it is not always the case.
Backspreads usually involve trading vertical skew. In this spread, traders are buying a 30 volatility and selling a 32 volatility. In trading the skew, the traders are capturing two volatility points of what some traders would call edge by buying the lower volatility and selling the higher.
Based on the greeks in
Exhibit 16.2
, the goal of this trade appears fairly straightforward: to profit from gamma scalping and rising IV. But, sadly, what appears to be straightforward is not.
Exhibit 16.3
shows the greeks of this trade at various underlying stock prices.
EXHIBIT 16.3
70–75 backspread greeks at various stock prices.
Notice how the greeks change with the stock price. As the stock price moves lower through the short strike, the 70 strike calls become the more relevant options, outweighing the influence of the 75s. Gamma and vega become negative, and theta becomes positive. If the stock price falls low enough, this backspread becomes a very different position than it was with the stock price at $71. Instead of profiting from higher implied and realized volatility, the spread needs a lower level of both to profit.
This has important implications. First, gamma traders must approach the backspread a little differently than they would most spreads. The backspread traders must keep in mind the dynamic greeks of the position. With a trade like a long straddle, in which there are no short options, traders scalping gamma simply buy to cover short deltas as the stock falls and sell to cover long deltas as the stock rises. The only risks are that the stock may not move enough to cover theta or that the traders may cover deltas too soon to maximize profits.
With the backspread, the changing gamma adds one more element of risk. In this example, buying stock to flatten out delta as the stock falls can sometimes be a premature move. Traders who buy stock may end up with more long deltas than they bargained for if the stock falls into negative-gamma territory.
Exhibit 16.3
shows that with the stock at $68, the delta for this trade is −2.50. If the traders buy 250 shares at $68, they will be delta neutral. If the stock subsequently falls to $62 a share, instead of being short 1.46 deltas, as the figure indicates, they will be long 1.04 because of the 250 shares they bought. These long deltas start to hurt as the stock continues lower. Backspreaders must therefore anticipate stock movements to avoid overhedging. The traders in this example may decide to lean short if the stock shows signs of weakness.
Leaning short means that if the delta is −2.50 at $68 a share, the traders may decide to underhedge by buying just 100 or 200 shares. If the stock continues to fall and negative gamma kicks in, this gives the traders some cushion to the


may decide to lean short if the stock shows signs of weakness.
Leaning short means that if the delta is −2.50 at $68 a share, the traders may decide to underhedge by buying just 100 or 200 shares. If the stock continues to fall and negative gamma kicks in, this gives the traders some cushion to the downside. The short delta of the position moves closer to being flat as the stock falls. Because there is a long strike and a short strike in this delta-neutral position, trading ratio spreads is like trading a long and a short volatility position at the same time. Trading backspreads is not an exact science. The stock has just as good a chance of rising as it does of falling, and if it does rise and the traders have underhedged at $68, they will not participate in all the gains they would have if they had fully hedged by buying 250 shares of stock. If trading were easy, everyone would do it!
Backspreaders must also be conscious of the volatility of each leg of the spread. There is an inherent advantage in this example to buying the lower volatility of the 75 calls and selling the higher volatility of the 70 calls. But there is also implied risk. Equity prices and IV tend to have an inverse relationship. When stock prices fall—especially if the drop happens quickly—IV will often rise. When stock prices rise, IV often falls.
In this backspread example, as the stock price falls to or through the short strike, vega becomes negative in the face of a potentially rising IV. As the stock price rises into positive vega turf, there is the risk of IV’s declining. A dynamic volatility forecast should be part of a backspread-trading plan. One of the volatility questions traders face in this example is whether the two-point volatility skew between the two strike prices is enough to compensate for the potential adverse vega move as the stock price changes.
Put backspreads have the opposite skew/volatility issues. Buying two lower-strike puts against one higher-strike put means the skew is the other direction—buying the higher IV and selling the lower. The put backspread would have long gamma/vega to the downside and short gamma/vega to the upside. But if the vega firms up as the stock falls into positive-vega territory, it would be in the trader’s favor. As the stock rises, leading to negative vega, there is the potential for vega profits if IV indeed falls. There are a lot of things to consider when trading a backspread. A good trader needs to think about them all before putting on the trade.
Ratio Vertical Spreads
Definition
: An option strategy consisting of more short options than long options having the same expiration month. Typically, the trader is short calls (or puts) in one series of options and long a fewer number of calls (or puts) in another series in the same expiration month on the same option class.
A ratio vertical spread, like a backspread, involves options struck at two different prices—one long strike and one short. That means that it is a volatility strategy that may be long or short gamma or vega depending on where the underlying price is at the time. The ratio vertical spread is effectively the opposite of a backspread. Let’s study a ratio vertical using the same options as those used in the backspread example.
With the stock at $71 and one month until March expiration:
In this case, we are buying one ITM call and selling two OTM calls. The relationship of the stock price to the strike price is not relevant to whether this spread is considered a ratio vertical spread. Certainly, all these options could be ITM or OTM at the time the trade is initiated. It is also not important whether the trade is done for a debit or a credit. If the stock price, time to expiration, volatility, or number of contracts in the ratio were different, this could just as easily been a credit ratio vertical.
Exhibit 16.4
illustrates the payout of this strategy if both legs of the 1:2 contract are still open at expiration.
EXHIBIT 16.4
Short ratio spread at expiration.
This strategy is a mirror image of the backspread discussed previously in this chapter. With limited risk to the downside, the maximum loss to the trade is the initial debit of 1 if the stock is below $70 at expiration and all the calls expire. There is a maximum profit potential of 4 if the stock is at the short strike at expiration. There is unlimited loss potential, since a short net delta is created on the upside, as one short 75 call is covered by the long 70 call, and one is naked. The breakevens are at $71 and $79.
Low Volatility
With the stock at $71, gamma and vega are both negative. Just as the backspread was a long volatility play at this underlying price, this ratio vertical is a short-vol play here. As in trading a short straddle, the name of the game is low volatility—meaning both implied and realized.
This strategy may require some gamma hedging. But as with other short volatility delta-neutral trades, the fewer the negative scalps, the greater the po


ratio vertical is a short-vol play here. As in trading a short straddle, the name of the game is low volatility—meaning both implied and realized.
This strategy may require some gamma hedging. But as with other short volatility delta-neutral trades, the fewer the negative scalps, the greater the potential profit. Delta covering should be implemented in situations where it looks as if the stock will trend deep into negative-gamma territory. Murphy’s Law of trading dictates that delta covering will likely be wrong at least as often as it is right.
Ratio Vertical Example
Let’s examine a trade of 20 contracts by 40 contracts.
Exhibit 16.5
shows the greeks for this ratio vertical.
EXHIBIT 16.5
Short ratio vertical spread greeks.
Before we get down to the nitty-gritty of the mechanics and management of this trade—the how—let’s first look at the motivations for putting the trade on—the why. For the cost of 1.00 per spread, this trader gets a leveraged position if the stock rises moderately. The profits max out with the stock at the short-strike target price—$75—at expiration.
Another possible profit engine is IV. Because of negative vega, there is the chance of taking a quick profit if IV falls in the interim. But short-term losses are possible, too. IV can rise, or negative gamma can hurt the trader. Ultimately, having naked calls makes this trade not very bullish. A big move north can really hurt.
Basically, this is a delta-neutral-type short-volatility play that wins the most if the stock is at $75 at expiration. One would think about making this trade if the mechanics fit the forecast. If this trader were a more bullish than indicated by the profit and loss diagram, a more-balanced bull call spread would be a better strategy, eliminating the unlimited upside risk. If upside risk were acceptable, this trader could get more aggressive by trading the spread one-by-three. That would result in a credit of 0.05 per spread. There would then be no ultimate risk below $70 but rather a 0.05 gain. With double the naked calls, however, there would be double punishment if the stock rallied strongly beyond the upside breakeven.
Ultimately, mastering options is not about mastering specific strategies. It’s about having a thorough enough understanding of the instrument to be flexible enough to tailor a position around a forecast. It’s about minimizing the unwanted risks and optimizing exposure to the intended risks. Still, there always exists a trade-off in that where there is the potential for profit, there is the possibility of loss—you can always be wrong.
Recalling the at-expiration diagram and examining the greeks, the best-case scenario is intuitive: the stock at $75 at expiration. The biggest theta would be right at that strike. But that strike price is also the center of the biggest negative gamma. It is important to guard against upward movement into negative delta territory, as well as movement lower where the position has a slightly positive delta.
Exhibit 16.6
shows what happens to the greeks of this trade as the stock price moves.
EXHIBIT 16.6
Ratio vertical spread at various prices for the underlying.
As the stock begins to rise from $71 a share, negative deltas grow fast in the short term. Careful trend monitoring is necessary to guard against a rally. The key, however, is not in knowing what will happen but in skillfully hedging against the unknown. The talented option trader is a disciplined risk manager, not a clairvoyant.
One of the risks that the trader willingly accepted when placing this trade was short gamma. But when the stock moves and deltas are created, decisions have to be made. Did the catalyst(s)—if any—that contributed to the rise in stock price change the outlook for volatility? If not, the decision is simply whether or not to hedge by buying stock. However, if it appears that volatility is on the rise, it is not just a delta decision. A trader may consider buying some of the short options back to reduce volatility exposure.
In this example, if the stock rises and it’s feared that volatility may increase, a good choice may be to buy back some of the short 75-strike calls. This has the advantage of reducing delta (buy enough deltas to flatten out) and reducing gamma and vega. Of course, the downside to this strategy is that in purchasing the calls, a loss is likely to be locked in. Unless a lot of time has passed or implied volatility has dropped sharply, the calls will probably be bought at a higher price than they were sold.
If the stock makes a violent move upward, a loss will be incurred. Whether this loss is locked in by closing all or part of the position, the account will still be down in value. The decision to buy the calls back at a loss is based on looking forward. Nothing good can come of looking back.
How Market Makers Manage Delta-Neutral Positions
While market makers are not position traders per se, they are expert position managers. For the most part, market makers make their liv


e. The decision to buy the calls back at a loss is based on looking forward. Nothing good can come of looking back.
How Market Makers Manage Delta-Neutral Positions
While market makers are not position traders per se, they are expert position managers. For the most part, market makers make their living by buying the bid and selling the offer. In general, they don’t act; they react. Most of their trades are initiated by taking the other side of what other people want to do and then managing the risk of the positions they accumulate.
The business of a market maker is much like that of a casino. A casino takes the other side of people’s bets and, in the long run, has a statistical (theoretical) edge. For market makers, because theoretical value resides in the middle of the bid and the ask, these accommodating trades lead to a theoretical profit—that is, the market maker buys below theoretical value and sells above. Actual profit—cold, hard cash you can take to the bank—is, however, dependent on sound management of the positions that are accumulated.
My career as a market maker was on the floor of the Chicago Board Options Exchange (CBOE) from 1998 to 2005. Because, over all, the trades I made had a theoretical edge, I hoped to trade as many contracts as possible on my markets without getting too long or too short in any option series or any of my greeks.
As a result of reacting to order flow, market makers can accumulate a large number of open option series for each class they trade, resulting in a single position. For example,
Exhibit 16.7
shows a position I had in Ford Motor Co. (F) options as a market maker.
EXHIBIT 16.7
Market-maker position in Ford Motor Co. options.
With all the open strikes, this position is seemingly complex. There is not a specific name for this type of “spread.” The position was accumulated over a long period of time by initiating trades via other traders selling options to me at prices I wanted to buy them—my bid—and buying options from me at prices I wanted to sell them—my offer. Upon making an option trade, I needed to hedge directional risk immediately. I usually did so by offsetting my option trades by taking the opposite delta position in the stock—especially on big-delta trades. Through this process of providing liquidity to the market, I built up option-centric risk.
To manage this risk I needed to watch my other greeks. To be sure, trying to draw a P&L diagram of this position would be a fruitless endeavor.
Exhibit 16.8
shows the risk of this trade in its most distilled form.
EXHIBIT 16.8
Analytics for market-maker position in Ford Motor Co. (stock at $15.72).
Delta
+1,075
Gamma
−10,191
Theta
+1,708
Vega
+7,171
Rho
−33,137
The +1,075 delta shows comparatively small directional risk relative to the −10,191 gamma. Much of the daily task of position management would be to carefully guard against movement by delta hedging when necessary to earn the $1,708 per day theta.
Much of the negative gamma/positive theta comes from the combined 1,006 short January 15 calls and puts. (Note that because this position is traded delta neutral, the net long or short options at each strike is what matters, not whether the options are calls or puts. Remember that in delta-neutral trading, a put is a call, and a call is a put.) The positive vega stems from the fact that the position is long 1,927 January 2003 20-strike options.
Although this position has a lot going on, it can be broken down many ways. Having long LEAPS options and short front-month options gives this position the feel of a time spread. One way to think of where most of the gamma risk is coming from is to bear in mind that the 15 strike is synthetically short 503 straddles (1,006 options ÷ two). But this position overall is not like a straddle. There are more strikes involved—a lot more. There is more short gamma to the downside if the price of Ford falls toward $12.50. To the upside, the 17.50 strike is long a combined total of 439 options. Looking at just the 15 and 17.50 strikes, we can see something that looks more like a ratio spread: 1,006:439. If the stock were at $17.50, the gamma would be around +5,000.
With the stock at $15.72, there is realized volatility risk of F rallying, but with gamma changing from negative to positive as the stock rallies, the risk of movement decreases quickly. The 20 strike is short 871 options which brings the position back to negative-gamma territory. Having alternating long and short strikes, sometimes called a butterflied position, is a handy way for market makers to reduce risk. A position is perfectly butterflied if it has alternating long and short strikes with the same number of contracts.
Through Your Longs to Your Shorts
With market-maker-type positions consisting of many strikes, the greatest profit is gained if the underlying security moves through the longs to the shorts. This provides kind of a win-win scenario for greeks traders. In this situation, traders get the benefit of long


rough Your Longs to Your Shorts
With market-maker-type positions consisting of many strikes, the greatest profit is gained if the underlying security moves through the longs to the shorts. This provides kind of a win-win scenario for greeks traders. In this situation, traders get the benefit of long gamma as the stock moves higher or lower through the long strike. They also reap the benefits of theta when the stock sits at the short strike.
Trading Flat
Most market makers like to trade flat—that is, profit from the bid-ask spread and strive to lower exposure to direction, time, volatility, and interest as much as possible. But market makers are at the mercy of customer orders, or paper, as it’s known in the industry. If someone sells, say, the March 75 calls to a market maker at the bid, the best-case scenario is that moments later someone else buys the same number of the same calls—the March 75s, in this case—from that same market maker at the offer. This is locking in a profit.
Unfortunately, this scenario seldom plays out this way. In my seven years as a market maker, I can count on one hand the number of times the option gods smiled upon me in such a way as to allow me to immediately scalp an option. Sometimes, the same option will not trade again for a week or longer. Very low-volume options trade “by appointment only.” A market maker trading illiquid options may hold the position until it expires, having no chance to get out at a reasonable price, often taking a loss on the trade.
More typically, if a market maker buys an option, he must sell a different option to lessen the overall position risk. The skills these traders master are to lower bids and offers on options when they are long gamma and/or vega and to raise bids and offers on options when they are short gamma and/or vega. This raising and lowering of markets is done to manage risk.
Effectively, this is your standard high school economics supply-and-demand curves in living color. When the market demands (buys) all the options that are supplied (offered) at a certain price, the price rises. When the market supplies (sells) all the options demanded (bid) at a price level, the price falls. The catalyst of supply and demand is the market maker and his risk tolerance. But instead of the supply and demand for individual options, it is supply and demand for gamma, theta, and vega. This is trading option greeks.
Hedging the Risk
Delta is the easiest risk for floor traders to eliminate quickly. It becomes second nature for veteran floor traders to immediately hedge nearly every trade with the underlying. Remember, these liquidity providers are in the business of buying option bids and selling option offers, not speculating on direction.
The next hurdle is to trade out of the option-centric risk. This means that if the market maker is long gamma, he needs to sell options; if he’s short gamma, he needs to buy some. Same with theta and vega. Market makers move their bids and offers to avoid being saddled with too much gamma, theta, and vega risk. Experienced floor traders are good at managing option risk by not biting off more than they can chew. They strive to never buy or sell more options than they can spread off by selling or buying other options. This breed of trader specializes in trading the spread and managing risk, not in predicting the future. They’re market makers, not market takers.
Trading Skew
There are some trading strategies for which market makers have a natural propensity that stems from their daily activity of maintaining their positions. While money managers who manage equity funds get to know the fundamentals of the stocks they trade very well, options market makers know the volatility of the option classes they trade. When they adjust their markets in reacting to order flow, it’s, mechanically, implied volatility that they are raising or lowering to change theoretical values. They watch this figure very carefully and trade its subtle changes.
A characteristic of options that many market makers and some other active professional traders observe and trade is the volatility skew. Savvy traders watch the implied volatility of the strikes above the at-the-money (ATM)—referred to as
calls
, for simplicity—compared with the strikes below the ATM, referred to as
puts
. In most stocks, there typically exists a “normal” volatility skew inherent to options on that stock. When this skew gets out of line, there may be an opportunity.
Say for a particular option class, the call that is 10 percent OTM typically trades about four volatility points lower than the put that is 10 percent OTM. For example, for a $50 stock, the 55 calls are trading at a 21 IV and the 45 puts are trading at a 25 volatility. If the 45 puts become bid higher, say, nine points above where the calls are offered—for instance, the puts are bid at 32 volatility bid while the calls are offered at 23 vol—a trader can speculate on the skew reverting back to its normal relationship


and the 45 puts are trading at a 25 volatility. If the 45 puts become bid higher, say, nine points above where the calls are offered—for instance, the puts are bid at 32 volatility bid while the calls are offered at 23 vol—a trader can speculate on the skew reverting back to its normal relationship by selling the puts, buying the calls, and hedging the delta by selling the right amount of stock.
This position—long a call, short a put with a different strike, and short stock on a delta-neutral ratio—is called a risk reversal. The motive for risk reversals is to capture vega as the skew realigns itself. But there are many risk factors that require careful attention.
First, as in other positions consisting of both long and short strikes, the gamma, theta, and vega of the position will vary from positive to negative depending on the price of the underlying. Risk-reversal traders must be prepared to trade long gamma (and battle time decay) when the stock rallies closer to the long-call strike and trade short gamma (and assume the risk of possible increased realized volatility) when the stock moves closer to the short-put strike.
As for vega, being short implied volatility on the downside and long on the upside is inherently a potentially bad position whichever way the stock moves. Why? As equities decline in price, the implied volatility of their options tends to rise. But the downside is where the risk reversal has its short vega. Furthermore, as equities rally, their IV tends to fall. That means the long vega of the upside hurts as well.
When Delta Neutral Isn’t Direction Indifferent
Many dynamic-volatility option positions, such as the risk reversal, have vega risk from potential IV changes resulting from the stock’s moving. This is indirectly a directional risk. While having a delta-neutral position hedges against the rather straightforward directional risk of the position delta, this hidden risk of stock movement is left unhedged. In some circumstances, a delta-lean can help abate some of the vega risk of stock-price movement.
Say an option position has fairly flat greeks at the current stock price. Say that given the way this particular position is set up, if the stock rises, the position is still fairly flat, but if the stock falls, short lower-strike options will lead to negative gamma and vega. One way to partially hedge this position is to lean short deltas—that is, instead of maintaining a totally flat delta, have a slightly short delta. That way, if the stock falls, the trade profits some on the short stock to partially offset some of the anticipated vega losses. The trade-off of this hedge is that if the stock rises, the trade loses on the short delta.
Delta leans are more of an art than a science and should be used as a hedge only by experienced vol traders. They should be one part of a well-orchestrated plan to trade the delta, gamma, theta, and vega of a position. And, to be sure, a delta lean should be entered into a model for simulation purposes before executing the trade to study the up-and-down risk of the position. If the lean reduces the overall risk of the position, it should be implemented. But if it creates a situation where there is an anticipated loss if the stock moves in either direction and there is little hope of profiting from the other greeks, the lean is not the answer—closing the position is.
Managing Multiple-Class Risk
Most traders hold option positions in more than one option class. As an aside, I recommend doing so, capital and experience permitting. In my experience, having positions in multiple classes psychologically allows for a certain level of detachment from each individual position. Most traders can make better decisions if they don’t have all their eggs in one basket.
But holding a portfolio of option positions requires one more layer of risk management. The trader is concerned about the delta, gamma, theta, vega, and rho not only of each individual option class but also of the portfolio as a whole. The trader’s portfolio is actually one big position with a lot of moving parts. To keep it running like a well-oiled machine requires monitoring and maintaining each part to make sure they are working together. To have the individual trades work in harmony with one another, it is important to keep a well-balanced series of strategies.
Option trading requires diversification, just like conventional linear stock trading or investing. Diversification of the option portfolio is easily measured by studying the portfolio greeks. By looking at the net greeks of the portfolio, the trader can get some idea of exposure to overall risk in terms of delta, gamma, theta, vega, and rho.


CHAPTER 17
Putting the Greeks into Action
This book was intended to arm the reader with the knowledge of the greeks needed to make better trading decisions. As the preface stated, this book is not so much a how-to guide as a how-come tutorial. It is step one in a three-step learning process:
Step One: Study
. First, aspiring option traders must learn as much as possible from books such as this one and from other sources, such as articles, both in print and online, and from classes both in person and online. After completing this book, the reader should have a solid base of knowledge of the greeks.
Step Two: Paper Trade
. A truly deep understanding requires practice, practice, and more practice! Fortunately, much of this practice can be done without having real money on the line. Paper trading—or simulated trading—in which one trades real markets but with fake money is step two in the learning process. I highly recommend paper trading to kick the tires on various types of strategies and to see how they might work differently in reality than you thought they would in theory.
Step Three: Showtime
! Even the most comprehensive academic study or windfall success with paper profits doesn’t give one a true feel for how options work in the real world. There are some lessons that must be learned from the black and the blue. When there’s real money on the line, you will trade differently—at least in the beginning. It’s human nature to be cautious with wealth. This is not a bad thing. But emotions should not override sound judgment. Start small—one or two lots per trade—until you can make rational decisions based on what you have learned, keeping emotions in check.
This simple three-step process can take years of diligent work to get it right. But relax. Getting rich quick is truly a poor motivation for trading options. Option trading is a beautiful thing! It’s about winning. It’s about beating the market. It’s about being smart. Don’t get me wrong—wealth can be a nice by-product. I’ve seen many people who have made a lot of money trading options, but it takes hard work. For every successful option trader I’ve met, I’ve met many more who weren’t willing to put in the effort, who brashly thought this is easy, and failed miserably.
Trading Option Greeks
Traders must take into account all their collective knowledge and experience with each and every trade. Now that you’re armed with knowledge of the greeks, use it! The greeks come in handy in many ways.
Choosing between Strategies
A very important use of the greeks is found in selecting the best strategy for a given situation. Consider a simple bullish thesis on a stock. There are plenty of bullish option strategies. But given a bullish forecast, which option strategy should a trader choose? The answer is specific to each unique opportunity. Trading is situational.
Example 1
Imagine a trader, Arlo, is studying the following chart of Agilent Technologies Inc. (A). See
Exhibit 17.1
.
EXHIBIT 17.1
Agilent Technologies Inc. daily candles.
Source
: Chart courtesy of Livevol
®
Pro (
www.livevol.com
)
The stock has been in an uptrend for six weeks or so. Close-to-close volatility hasn’t increased much. But intraday volatility has increased greatly as indicated by the larger candles over the past 10 or so trading sessions. Earnings is coming up in a week in this example, however implied volatility has not risen much. It is still “cheap” relative to historical volatility and past implied volatility. Arlo is bullish. But how does he play it? He needs to use what he knows about the greeks to guide his decision.
Arlo doesn’t want to hold the trade through earnings, so it will be a short-term trade. Thus, theta is not much of a concern. The low-priced volatility guides his strategy selection in terms of vega. Arlo certainly wouldn’t want a short-vega trade. Not with the prospect of implied volatility potential rising going into earnings. In fact, he’d actually want a big positive vega position. That rules out a naked/cash-secured put, put credit spread and the likes.
He can probably rule out vertical spreads all together. He doesn’t need to spread off theta. He doesn’t want to spread off vega. Positive gamma is attractive for this sort of trade. He wouldn’t want to spread that off either. Plus, the inherent time component of spreads won’t work well here. As discussed in Chapter 9, the bulk of vertical spreads profits (or losses) take time to come to fruition. The deltas of a call spread are smaller than an outright call. Profits would come from both delta and theta, if the stock rises to the short strike and positive theta kicks in.
The best way for Arlo to play this opportunity is by buying a call. It gives him all the greeks attributes he wants (comparatively big positive delta, gamma and vega) and the detriment (negative theta) is not a major issue.
He’d then select among in-the-money (ITM), at-the-money (ATM), and out-of-the-money (OTM) calls and the various available expiration

eBooks\Trading Options Greeks\Trading Options Greeks_ How Time, Volatility, and Other Pricing Factors Drive Profits (Bloomberg Financial).epub#section:text00029.html


ng a call. It gives him all the greeks attributes he wants (comparatively big positive delta, gamma and vega) and the detriment (negative theta) is not a major issue.
He’d then select among in-the-money (ITM), at-the-money (ATM), and out-of-the-money (OTM) calls and the various available expiration cycles. In this case, because positive gamma is attractive and theta is not an issue, he’d lean toward a front month (in this case, three week) option. The front month also benefits him in terms of vega. Though the vegas are smaller for short-term options, if there is a rise in implied volatility leading up to earnings, the front month will likely rise much more than the rest. Thus, the trader has a possibility for profits from vega.
Example 2
A trader, Luke, is studying the following chart for United States Steel Corp. (X). See
Exhibit 17.2
.
EXHIBIT 17.2
United States Steel Corp. daily candles.
Source
: Chart courtesy of Livevol
®
Pro (
www.livevol.com
)
This stock is in a steady uptrend, which Luke thinks will continue. Earnings are out and there are no other expected volatility events on the horizon. Luke thinks that over the next few weeks, United States Steel can go from its current price of around $31 a share to about $34. Volatility is midpriced in this example—not cheap, not expensive.
This scenario is different than the previous one. Luke plans to potentially hold this trade for a few weeks. So, for Luke, theta is an important concern. He cares somewhat about volatility, too. He doesn’t necessarily want to be long it in case it falls; he doesn’t want to be short it in case it rises. He’d like to spread it off; the lower the vega, the better (positive or negative). Luke really just wants delta play that he can hold for a few weeks without all the other greeks getting in the way.
For this trade, Luke would likely want to trade a debit call spread with the long call somewhat ITM and the short call at the $34 strike. This way, Luke can start off with nearly no theta or vega. He’ll retain some delta, which will enable the spread to profit if United States Steel rises and as it approaches the 34 strike, positive theta will kick in.
This spread is superior to a pure long call because of its optimized greeks. It’s superior to an OTM bull put spread in its vega position and will likely produce a higher profit with the strikes structured as such too, as it would have a bigger delta.
Integrating greeks into the process of selecting an option strategy must come natural to a trader. For any given scenario, there is one position that best exploits the opportunity. In any option position, traders need to find the optimal greeks position.
Managing Trades
Once the trade is on, the greeks come in handy for trade management. The most important rule of trading is
Know Thy Risk
. Knowing your risk means knowing the influences that expose your position to profit or peril in both absolute and incremental terms. At-expiration diagrams reveal, in no uncertain terms, what the bottom-line risk points are when the option expires. These tools are especially helpful with simple short-option strategies and some long-option strategies. Then traders need the greeks. After all, that’s what greeks are: measurements of option risk. The greeks give insight into a trade’s exposure to the other pricing factors. Traders must know the greeks of every trade they make. And they must always know the net-portfolio greeks at all times. These pricing factors ultimately determine the success or failure of each trade, each portfolio, and eventually each trader.
Furthermore, always—and I do mean always—traders must know their up and down risk, that is, the directional risk of the market moving up or down certain benchmark intervals. By definition, moves of three standard deviations or more are very infrequent. But they happen. In this business anything can happen. Take the “flash crash of 2010 in which the Dow Jones Industrial Average plunged more than 1,000 points in “a flash.” In my trading career, I’ve seen some surprises. Traders have to plan for the worst.
It’s not too hard to tell your significant other, “Sorry I’m late, but I hit unexpected traffic. I just couldn’t plan for it.” But to say, “Sorry, I lost our life savings, and the kids’ college fund, and our house because the market made an unexpected move. I couldn’t plan for it,” won’t go over so well. The fact is, you
can
plan for it. And as an option trader, you have to. The bottom line is, expect the unexpected because the unexpected will sometimes happen. Traders must use the greeks and up and down risk, instead of relying on other common indicators, such as the HAPI.
The HAPI: The Hope and Pray Index
So you bought a call spread. At the opening bell the next morning, you find that the market for the underlying has moved lower—a lot lower. You have a loss on your hands. What do you do? Keep a positive attitude? Wear your lucky shirt? Pray to the options gods? When traders finds themselves h


Index
So you bought a call spread. At the opening bell the next morning, you find that the market for the underlying has moved lower—a lot lower. You have a loss on your hands. What do you do? Keep a positive attitude? Wear your lucky shirt? Pray to the options gods? When traders finds themselves hoping and praying—I swear I’ll never do that again if I can just get out of this position!—it is probably time for them to take their losses and move on to the next trade. The Hope and Pray Index is a contraindicator. Typically, the higher it is, the worse the trade.
There are two numbers a trader can control: the entry price and the exit price. All of the other flashing green and red numbers on the screen are out of the trader’s control. Savvy traders observe what the market does and make decisions on whether and when to enter a position and when to exit. Traders who think about their positions in terms of probability make better decisions at both of these critical moments.
In entering a trade, traders must consider their forecast, their assessment of the statistical likelihood of success, the potential payout and loss, and their own tolerance for risk. Having considered these criteria helps the traders stay the course and avoid knee-jerk reactions when the market moves in the wrong direction. Trading is easy when positions make money. It is how traders deal with adverse positions that separates good traders from bad.
Good traders are good at losing money. They take losses quickly and let profits run. Accepting, before entering the trade, the statistical nature of trading can help traders trade their positions with less emotion. It then becomes a matter of competent management of those positions based on their knowledge of the factors affecting option values: the greeks. Learning to think in terms of probability is among the most difficult challenges for a new options trader.
Chapter 5 discussed my Would I Do It Now? Rule, in which a trader asks himself: if I didn’t currently have this position, would I put it on now at current market prices? This rule is a handy technique to help traders filter out the noise in their heads that clouds judgment and to help them to make rational decisions on whether to hold a position, close it out or adjust it.
Adjusting
Sometimes the position a trader starts off with is not the position he or she should have at present. Sometimes positions need to be changed, or adjusted, to reflect current market conditions. Adjusting is very important to option traders. To be good at adjusting, traders need to use the greeks.
Imagine a trader makes the following trade in Halliburton Company (HAL) when the stock is trading $36.85.
Sell 10 February 35–36–38–39 iron condors at 0.45
February has 10 days until expiration in this example. The greeks for this trade are as follows:
Delta: −6.80
Gamma: −119.20
Theta: +21.90
Vega: −12.82
The trader has a neutral outlook, which can be inferred by the near-flat delta. But what if the underlying stock begins to rise? Gamma starts kicking in. The trader can end up with a short-biased delta that loses exponentially if the stock continues to climb. If Halliburton rises (or falls for that matter) the trader needs to recalibrate his outlook. Surely, if the trader becomes bullish based on recent market activity, he’d want to close the trade. If the trader is bearish, he’d probably let the negative delta go in hopes of making back what was lost from negative gamma. But what if the trader is still neutral?
A neutral trader needs a position that has greeks which reflect that outlook. The trader would want to get delta back towards zero. Further, depending on how much the stock rises, theta could start to lose its benefit. If Halliburton approaches one of the long strikes, theta could move toward zero, negating the benefit of this sort of trade all together. If after the stock rises, the trader is still neutral at the new underlying price level, he’d likely adjust to get delta and theta back to desired territory.
A common adjustment in this scenario is to roll the call-credit-spread legs of the iron condor up to higher strikes. The trader would buy ten 38 calls and sell ten 39 calls to close the credit spread. Then the trader would buy 10 of the 39 calls as sell 10 of the 40 calls to establish an adjusted position that is short a 10 lot of the February 35–36–39–40 iron condor.
This, of course, is just one possible adjustment a trader can make. But the common theme among all adjustments is that the trader’s greeks must reflect the trader’s outlook. The position greeks best describe what the position is—that is, how it profits or loses. When the market changes it affects the dynamic greeks of a position. If the market changes enough to make a trader’s position greeks no longer represent his outlook, the trader must adjust the position (adjust the greeks) to put it back in line with expectations.
In option trading there are an infinite number of uses for the greeks. F


he dynamic greeks of a position. If the market changes enough to make a trader’s position greeks no longer represent his outlook, the trader must adjust the position (adjust the greeks) to put it back in line with expectations.
In option trading there are an infinite number of uses for the greeks. From finding trades, to planning execution, to managing and adjusting them, to planning exits; the greeks are truly a trader’s best resource. They help traders see potential and actual position risk. They help traders project potential and actual trade profitability too. Without the greeks, a trader is at a disadvantage in every aspect of option trading. Use the greeks on each and every trade, and exploit trades to their greatest potential.
I wish you good luck
!
For me, trading option greeks has been a labor of love through the good trades and the bad. To succeed in the long run at greeks trading—or any endeavor, for that matter—requires enjoying the process. Trading option greeks can be both challenging and rewarding. And remember, although option trading is highly statistical and intellectual in nature, a little luck never hurt! That said, good luck trading!