Positional Option Trading (Wiley Trading)

Home > Other > Positional Option Trading (Wiley Trading) > Page 18
Positional Option Trading (Wiley Trading) Page 18

by Euan Sinclair


  premium is high is a good time to enter covered call positions.

  Some explanations for the effect are very complex but, very

  simply, stock markets have tended to go up and volatility rises

  during drops, so, a high-variance premium is correlated with

  temporary dips.

  Short Put Spread

  We sell the 1-year ATM put and buy the 20-delta put (the 81

  strike). The PL distribution from a simulation of 10,000 paths is

  shown in Figure 8.8 and summary statistics are shown in Table

  8.7. The initial value of the spread is $8.11.

  Unfortunately, in most products the long put will have a

  significantly higher implied volatility than the short ATM option.

  For example, the S&P 500 20-delta put currently has an implied

  volatility of about 1.36 times that of the ATM. So, if the ATM

  volatility is 30%, we would be paying 40.8% for the long 20-delta

  put. This doesn't greatly change the shape of the distribution but

  will be a significant drag on profits. This is shown in Table 8.8.

  For many definitions of conservative, the short spread is the most

  conservative directional strategy. It has a high winning

  percentage, a high median, and a capped downside.

  158

  FIGURE 8.8 The PL distribution for a short 1-year ATM/20-delta put spread on a $100 stock with a 20% return. Both implied

  and realized volatilities are 30% and rates are zero.

  TABLE 8.7 Summary Statistics of the PL Distribution for a Short 1-Year ATM/20-Delta Put Spread on a $100 Stock

  with a 20% Return (Both implied and realized volatilities

  are 30% and rates are zero.)

  Average

  $422

  Standard

  deviation

  $680

  Skewness

  −1.42

  Excess kurtosis

  0.43

  Median

  $811

  90th percentile

  $811

  Maximum

  $811

  10th percentile

  −$1,072

  Minimum

  −

  $1,089

  Percent profitable

  78%

  159

  TABLE 8.8 Summary Statistics of the PL Distribution for a Short 1-Year ATM/20-Delta Put Spread on a $100 Stock

  with a 20% Return (The ATM-implied volatility is 30%

  and the implied volatility of the 20-delta put is 40.8%.

  Realized volatilities are 30% and rates are zero.)

  Average

  $216

  Standard

  deviation

  $720

  Skewness

  −1.52

  Excess kurtosis

  0.62

  Median

  $634

  90th percentile

  $634

  Maximum

  $634

  10th percentile

  −

  $1,404

  Minimum

  −

  $1,666

  Percent profitable

  76%

  Risk Reversal

  We sell the 1-year 20-delta put and buy the 20-delta call. The PL

  distribution from a simulation of 10,000 paths is shown in Figure

  8.9 and summary statistics are shown in Table 8.9. The initial

  value of the position is a credit of $93.

  160

  FIGURE 8.9 The PL distribution for a 1-year 20-delta risk reversal on a $100 stock with a 20% return. Both implied and

  realized volatilities are 30% and rates are zero.

  TABLE 8.9 Summary Statistics of the PL Distribution for a 1-Year 20-Delta Risk Reversal on a $100 Stock with a

  20% Return (Both implied and realized volatilities are

  30% and rates are zero.)

  Average

  $948

  Standard

  deviation

  $2,140

  Skewness

  2.69

  Excess kurtosis

  9.00

  Median

  $79

  90th percentile

  $3,666

  Maximum

  $22,68

  0

  10th percentile

  −$251

  Minimum

  −

  $3,802

  Percent profitable

  85%

  Although this position has an initial delta of 40, as the stock

  moves the delta changes. This is reflected in the fact that the

  maximum profit and losses are practically the same as for a long

  161

  stock position. In exceptionally large moves the 20-delta options

  become 100 delta and the risk reversal mimics a stock position.

  However, the risk reversal has lower average and median than the

  stock position. There will be times when the long calls expire

  worthless even when the stock rallies. The reason the median

  value is positive is that the position was entered into at a credit.

  In most markets, we will be benefiting from selling the 20-delta

  put at an inflated volatility and, at least for indices, we will be

  buying the 20-delta call at a volatility under that of the ATM. For

  the S&P 500, the 20-delta call currently has a volatility of about

  0.77 of the ATM volatility. Assuming this, the effect on summary

  statistics is shown in Table 8.10. The fact the position performs better when there is a skew is entirely due to the extra premium

  we collect. The initial value of this position is a credit of $330.

  Because we can collect a reasonable premium from this position,

  we can still buy a teeny put to hedge the downside risk. For

  example, the implied volatility of a 5-delta index put is usually

  about 1.7 times the ATM volatility. In this case that gives an

  implied volatility of 51% and a premium of $1.28 for this teeny

  put. That reduces the initial credit to $202 and lowers the average

  and percentile numbers by the same amount.

  This downside hedged risk reversal is my personal favorite bullish

  directional position.

  It has limited downside risk.

  TABLE 8.10 Summary Statistics of the PL Distribution

  for a 1-Year 20-Delta Risk Reversal on a $100 Stock

  with a 20% Return (The call implied volatility is 23.1%

  and the implied volatility of the 20-delta put is 40.8%.

  Realized volatility is 30% and rates are zero.)

  Average

  $1,430

  Standard

  deviation

  $2,320

  Skewness

  2.69

  Excess kurtosis

  10.2

  Median

  $366

  90th percentile

  $4,448

  Maximum

  $27,262

  162

  10th percentile

  $85

  Minimum

  −

  $3,205

  Percent profitable

  91%

  It has the potential for large wins.

  It takes advantage of the skewness premium.

  Aside: The Risk Reversal as a Skew Trade

  As demonstrated, the risk reversal is an effective way to profit

  from the implied skewness premium. However, despite many

  views to the contrary, it isn't particularly useful for speculating on

  the movement of the implied skew itself. Although the implied

  skew does fluctuate, the size of its moves is dwarfed by the effects

  of the stock movement and the level of implied volatility.

  Consider the risk-reversal just discussed. Imagine we are selling


  the put and buying the call because we think the slope of the skew

  will flatten. If we think the put volatility ratio to the ATM volatility

  will drop and the call ratio will increase, we will make a profit of

  (8.1)

  Consider a 1-month risk reversal on a $100 stock. The 20-delta

  put (91 strike) has an implied volatility of 40.8% and the 20-delta

  call has an implied volatility of 23.1%. We sell the put and buy the

  call because we expect the skew to flatten. Table 8.11 shows the

  profits we make on the position for various degrees of flattening.

  However, the expected daily move of a $100 stock with a volatility

  of 30% is $1.50. If the stock drops to $98.5, the risk reversal loses

  $94, and if the stock rallies to $101.5, the risk reversal will make

  $16. So, an average daily P/L due to the stock's random

  fluctuations is $55. Even if the implied curve flattens by three

  volatility points on both the calls and the puts on one day, the

  skew-related profit will still only be of the order of the

  delta/gamma P/L. It is exceptionally unlikely that a move will

  occur on the day after the trade is initiated. This analysis also

  ignores changes in the level of the volatility curve and the effect of

  correlations between stock returns and implied skewness. Long-

  163

  dated options will have less gamma to cause problems and more

  vega to make money off implied volatility changes. However, the

  long-dated implied volatility curves are much more stable than

  short-dated ones.

  TABLE 8.11 Results for a Short Put–Long Call 20-Delta Risk Reversal for Various Amounts of Implied Volatility

  Curve Flattening

  Put volatility

  0.40

  8

  0.398 0.388

  0.378

  Call volatility

  0.231 0.241 0.251

  0.261

  Risk reversal

  value

  0.43

  0.25 0.08 −0.09

  Profit ($)

  0 18 35

  52

  It is possible to make money with this trade. The idea of taking

  advantage of reversion of the implied skew is a sensible one. But

  the edge from this prediction is likely to be overwhelmed by noise.

  Ratio Spreads

  Although all directional option positions are dependent on

  volatility, some have a higher dependence than others. Ratio

  spreads are an extreme example. Although they are often used to

  speculate on direction, their primary exposure is to volatility. They

  have the payoff of a broken wing butterfly, something we always

  think of as primarily a volatility position.

  We buy the 1-year ATM call and sell two of the 20-delta calls. The

  PL distribution from a simulation of 10,000 paths is shown in

  Figure 8.10 and summary statistics are shown in Table 8.12. The initial value of the position is a debit of $749.

  164

  FIGURE 8.10 The PL distribution for a 1-year ATM/20-delta risk

  one-by-two call spread on a $100 stock with a 20% return. Both

  implied and realized volatilities are 30% and rates are zero.

  TABLE 8.12 Summary Statistics of the PL Distribution for a 1-Year 20-Delta Risk Reversal on a $100 Stock with

  a 20% Return (Both implied and realized volatilities are

  30% and rates are zero.)

  Average

  $381

  Standard

  deviation

  $1780

  Skewness

  −1.10

  Excess kurtosis

  5.20

  Median

  $190

  90th percentile

  $2,670

  Maximum

  $3,140

  10th percentile

  −$749

  Minimum

  −

  $15,230

  Percent profitable

  52%

  As I have emphasized, there are few hard-and-fast rules in option

  trading, but the version of the ratio spread that is long the one

  option and short the second is generally best avoided. In terms of

  finding edge, the trader needs a good prediction of both volatility

  165

  and direction. It is difficult to predict either, let alone both. There are better alternatives for both directional and volatility

  speculation. It is tempting to use the sale of the two options to

  “finance” the purchase of the one, but this is only done by taking

  on unlimited risk. If a trader has enough edge (either in volatility

  or direction) to do a trade at all, she shouldn't be afraid to pay the

  option premium. There are no free lunches and there are no free

  option positions.

  Another reason that is often given for trading a ratio is to short a

  high implied skew. This is usually done with puts because puts

  usually have a more pronounced implied skew. By selling the two

  farther-out-of-the-money options, the trader can short volatility at

  the higher implied volatility and mitigate the risk with the single

  long option. This trade has all of the same problems mentioned in

  the section on trading risk reversals to capture skew, but ratio

  spreads are an even worse vehicle for trading an idea that isn't

  very good to start with.

  If a trader wants to collect the skew premium, the safest way is to

  sell a put spread rather than possibly offset this by purchasing a

  call spread. The long put will almost certainly be the option with

  the highest implied volatility in the structure, but because the

  short put will still be trading at a volatility premium to the ATM

  this position is still short implied skew.

  An effective way to use a ratio spread is to buy the two options and

  sell the one as a relatively cheap catastrophe hedge. If the options

  are struck far enough out of the money, the hope is they will only

  come into play in a huge crash and we will then end up being long

  vega and net options (the most robust risk control number). This

  trade is still not a free lunch. If instead of a crash we have a slow

  move downwards, we can end up short gamma and paying theta,

  but the bad scenarios are ones that occur slowly so at least we can

  rebalance. This incurs transaction costs but at least we have a

  chance to trade.

  As an example, with SPY 299 on October 23, 2019, we can sell the

  November 15 266 put for 0.16 and buy two of the 258 puts for 0.10

  each. For the same outlay of 0.04 we could have bought the 241

  put. Obviously, in almost all situations we will lose the 0.04

  premium. The important thing in evaluating these positions isn't

  the overall probability distribution; it is how we look in the event

  of a crash. The risk slides for these two positions are shown in

  166

  Tables 8.13 and 8.14. On October 23 the ATM volatility was 11.4%.

  To estimate the relevant implied volatilities for each underlying

  price level I could use a regression model to find the historical

  relationship between price and volatility moves. Such a model is

  useful for normal trading purposes but for estimating tail event

  parameters it is at best useless and possibly dangerous if it gives a

  false sense of certainty. Instead I'm going to assign what I think

  are possible and I ho
pe overly pessimistic volatility numbers.

  TABLE 8.13 The Risk Slide for the Single 241 Put

  SPY price

  change

  −30% −20% −10%

  Postulated IV

  120% 80% 30%

  Delta

  −0.61 −0.47 −0.07

  Vega

  $2120 $2515 $965

  P/L

  $465 $207

  0

  0 $65

  TABLE 8.14 The Risk Slide for the 258/266 One-By-Two Put Spread

  SPY price

  change

  −30% −20% −10%

  Postulated IV

  120% 80% 30%

  Delta

  −0.68 −0.53 0.14

  Vega

  $205 $255 −

  0

  6

  $410

  P/L

  $530 $256

  0

  0

  $42

  One could argue than in a “small” crash the single teeny put

  behaves better because it leaves us short delta and long vega,

  although the P/L superiority is small. However, in severe crashes

  the ratio spread gives significantly better protection.

  Conclusion

  As with volatility position selection, there is no one “best” strategy

  when using options to speculate directionally. The most important

  consideration is probably whether the variance premium is low or

  167

  high. This, more than risk preferences, is paramount in deciding

  to be long or short options. Then the trader can decide on the

  structure based on preference for winning percentage, maximum

  profit, and maximum loss, and so on. Finally, strikes can be

  chosen by considering the risk characteristics discussed in Chapter

  Seven.

  Summary

  Variance and skew premia are the most important factors even

  when trading options directionally.

  Single options have the best correlation between a profit and a

  successful prediction.

  Spreads are useful for mitigating the dependency of the trade

  on the variance premium. The fact they also create a stop (or

  profit target) is useful as a risk management tool but

  predicting an underlying's range is probably too hard to do

  consistently.

  168

  CHAPTER 9

  Trade Sizing

  It certainly is not true that good risk management can turn a

  strategy with no positive expectation into a winner. Risk

  management can change the return distribution of a strategy with

 

‹ Prev