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Positional Option Trading (Wiley Trading)

Page 17

by Euan Sinclair


  Basing the decision on maximizing average return, median return, or

  probability of profit will lead to different answers. And there are many

  other statistics that could be sensibly considered. It is also quite likely that a trader's criteria will change based on the rest of her portfolio. The

  decision needs to be made based on personal utility and on a case-by-case

  basis.

  Summary

  By interpreting the dividend yield term in the generalized BSM model

  to be a drift parameter we can get subjective option values that depend

  on return.

  These prices are not arbitrage free but can be used to derive real-world

  statistics (as opposed to risk-neutral statistics).

  Different evaluation criteria will suggest very different “optimal”

  strikes.

  146

  CHAPTER 8

  Directional Option Strategy

  Selection

  In addition to choosing a strike and expiration, the trader needs to

  decide what strategy to employ. There are many option structures

  that could be used to speculate directionally, but here we will

  confine ourselves to those that could be considered the

  fundamental building blocks of the others: the long call, the long

  call spread, the short put, the short put spread, and the risk

  reversal.

  It is possible to construct a matrix that constructs optimal

  positions using various risk measures such as the Sharpe ratio, the

  generalized Sharpe ratio (GSR), or the Kelly ratio. Doing this isn't

  stupid but here are several problems with the approach:

  Different criteria will recommend different structures, and

  none will express the investor's real utility. All the criteria are

  useful guides, but none are definitive.

  Often the difference between strategies will be minimal using

  this method.

  The various risk ratios assume that our forecasts are correct. It

  is more important to understand what happens if we are

  wrong. Although it is possible to calculate derivatives of the

  ratios (e.g., the derivative of GSR with respect to return), it is

  more instructive to again run simulations.

  Long Stock

  This is our baseline. We buy 100 shares of a $100 stock. We expect

  a 20% return and realized volatility is 30%. If our return estimate

  is correct, the (lognormal) PL distribution after 1-year is shown in

  Figure 8.1 and summary statistics are shown in Table 8.1.

  147

  FIGURE 8.1 The PL distribution for 100 shares of a $100 stock with a 20% return; volatility is 30%.

  TABLE 8.1 Summary Statistics for 100 Shares of a $100

  Stock with a 20% Return (Volatility is 30%.)

  Average

  $2,640

  Standard deviation

  $3,736

  Skewness

  1.12

  Excess kurtosis

  2.73

  Median

  $2,214

  90th percentile

  $7,940

  Maximum (in a 10,000-path

  simulation)

  $27,220

  10th percentile

  −

  $1,660

  Minimum (in a 10,000-path

  −

  simulation)

  $6,260

  Percent profitable

  75%

  Long Call

  Consider a long ATM 1-year call on a $100 stock when rates are

  zero. We expect a 20% return and both implied and realized

  volatility are 30%. If our return estimate is correct, the PL

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

  148

  8.2 and summary statistics are shown in Table 8.2. The initial

  value of the call is $11.92.

  FIGURE 8.2 The PL distribution for a 1-year ATM call option on a $100 stock with a 20% return. Both implied and realized

  volatilities are 30% and rates are zero.

  TABLE 8.2 Summary Statistics of the PL Distribution for a 1-Year ATM Call Option on a $100 Stock with a 20%

  Return (Both implied and realized volatilities are 30%

  and rates are zero.)

  Average

  $1,516

  Standard

  deviation

  $3,198

  Skewness

  1.66

  Excess kurtosis

  4.12

  Median

  $538

  90th percentile

  $5,843

  Maximum

  $23,06

  8

  10th percentile

  −$1,192

  Minimum

  −$1,192

  Percent profitable

  58%

  If we had bought 100 shares of stock, our average median profit

  would have been $2,200. The option premium pays for the

  149

  leverage relative to the shares and the limited downside. A call option is similar (but not identical) to a long stock position and a

  stop-loss order at the strike. However, stops will kill some trades

  that would eventually have recovered. Options won't do this, and

  this is the benefit of paying the premium.

  Long Call Spread

  We buy the 1-year ATM call and sell the 20-delta call (the 135

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

  shown in Figure 8.3 and summary statistics are shown in Table

  8.3. The initial value of the spread is $9.04.

  This P/L distribution is similar to a long position with a stop and a

  profit target. Although returns are far from normal, the extreme

  values have been eliminated along with the skewness.

  In indices, it is quite possible that the implied skew means you will

  be selling the short strike at a discount to the ATM volatility. In

  many other products, you will receive a premium for the short

  strike. This changes the initial premium and hence the profits but

  won't change the shape of the terminal distribution.

  One benefit that the call spread offers over the call is related to

  psychology. When holding a call, particularly an OTM call, you are

  paying for the extreme upside. This means you need to continue to

  hold the option. A lot of traders have trouble with this (in my

  experience, amateurs can't take losses and professionals are too

  inclined to take profits). Instead of fighting this tendency, it may

  be better to buy a call spread instead of a call. The short strike will

  be the profit target and the position won't have cost as much to

  initiate.

  150

  FIGURE 8.3 The PL distribution for a 1-year ATM/20-delta call spread on a $100 stock with a 20% return. Both implied and

  realized volatilities are 30% and rates are zero.

  TABLE 8.3 Summary Statistics of the PL Distribution for a 1-Year ATM/20-Delta Call Spread on a $100 Stock with

  a 20% Return (Both implied and realized volatilities are

  30% and rates are zero.)

  Average

  $819

  Standard

  deviation

  $1,502

  Skewness

  0.01

  Excess kurtosis

  −1.76

  Median

  $759

  90th percentile

  $2,596

  Maximum

  $2,596

  10th percentile

  −$904

  Minimum

  −$904

  Percent profitable

  58%


  Short Put

  151

  We sell the 1-year ATM put. The PL distribution from a simulation

  of 10,000 paths is shown in Figure 8.4 and summary statistics are shown in Table 8.4. The initial value of the put is $11.92.

  Choosing a short put instead of a long call is really about

  preferring a high probability of a smaller profit to a larger average

  profit and positive skewness.

  Covered Calls

  A covered call consists of a long position in a stock and short

  position in a call on that stock. In exchange for receiving the

  option premium, the investor has her upside capped. Figure 8.5

  shows the covered call payoff at expiration when a 100-strike call

  option is sold for $5.

  FIGURE 8.4 The PL distribution for a short 1-year ATM put option on a $100 stock with a 20% return. Both implied and

  realized volatilities are 30% and rates are zero.

  TABLE 8.4 Summary Statistics of the PL Distribution for a Short 1-Year ATM Put Option on a $100 Stock with a

  20% Return (Both implied and realized volatilities are

  30% and rates are zero.)

  Average

  $706

  Standard

  deviation

  $986

  Skewness

  −2.22

  152

  Excess kurtosis

  4.53

  Median

  $1,192

  90th percentile

  $1,192

  Maximum

  $1,192

  10th percentile

  −$8,43

  Minimum

  −

  $5,172

  Percent profitable

  78%

  FIGURE 8.5 The payoff of the covered call as a function of stock price at expiration.

  Synthetically a covered call is the same as a short put. Instead of

  selling a call against an established long stock position, investors

  sometimes sell a put and hold enough cash to be able to purchase

  the stock if they are assigned. Synthetically, this position is the

  same as a covered call with the same strike. However, there are

  some differences in how and why these strategies are used:

  Some investors are prohibited from put selling, but they can

  write covered calls.

  The chosen strikes tend to be different, with both strategies

  generally implemented with out-of-the-money options.

  Selling out-of-the-money put options means the trader usually

  benefits from selling at an implied volatility premium.

  153

  The psychological effects on the trader are also somewhat

  different. The holder of a covered call tends to be happy with

  rallies, whereas the seller of the put often feels she has missed out

  in the case of a large rally. This is because we frame the situations

  differently. Covered calls are framed as a situation in which we are

  long and are prepared to sell, whereas short puts are seen as a

  situation in which we are waiting to get long at a certain price.

  Part of this is due to the different strike choices but the reasoning

  is still specious. This shouldn't be a relevant consideration in

  strategy selection, but in practice it is.

  Covered calls have been popular with retail traders due to the

  argument that “I would sell the stock if it went to the strike price,

  so why not get paid to do that?” This reasoning is poor, but

  covered calls are also the rare example of a popular retail strategy

  that works well and makes good sense. Over time they have

  delivered equity-like returns with lower risk. For example,

  consider the CBOE BuyWrite Index. This consists of holding the

  SPX portfolio and selling slightly out-of-the-money 1-month calls

  that are held until expiration. The performance is shown in Figure

  8.6 and summarized in Table 8.5, together with the S&P 500

  (including dividends).

  We can see that the outperformance of the covered call strategy is

  robust with respect to the exact implementation by looking at the

  results of BXY (which sells 2% out of the money calls) and BXMD

  (which sells 30-delta calls). These results are summarized in Table

  8.6.

  154

  FIGURE 8.6 The performance of the CBOE BuyWrite Index compared to that of the S&P 500 index from June 1988 to

  September 2019.

  TABLE 8.5 Summary Statistics for BXM and the S&P 500

  Statistic

  BXM

  S&P

  500

  Annual return

  8.5%

  7.7%

  Volatility

  12.6% 17.3%

  Max

  drawdown

  40.1% 56.8%

  Skew

  −0.67

  −0.29

  TABLE 8.6 Summary Statistics for BXY, BXMD, and the S&P 500 from June 1988 to July 2019

  Statistic

  BXY

  BXMD

  S&P

  500

  Annual return

  8.6%

  10.3% 7.7%

  Volatility

  12.6% 14.7% 17.3%

  Max

  drawdown

  40.1%

  46.9% 56.8%

  Skew

  −0.67

  −0.46

  −0.29

  155

  Components of Covered Call Profits

  The discussion of strike choice up until now has only focused on

  the risk characteristics of the options. We also need to consider

  the factors that drive option returns when making the choice. As

  an example, we consider a covered call. This is the simplest

  possible option position, but this analysis is quite general.

  The reason that covered calls can provide equity-like returns with

  lower volatility is that they are exposed to two profitable factors:

  the equity market risk factor and the volatility premium. Selling a

  call against an existing position reduces the portfolio's exposure to

  the stock while adding a short volatility exposure. The lower

  volatility of a covered call position is due to the diversification that

  two factor exposures provide.

  Consider a stock with a current price of $100. We assume that the

  stock increases by 10% a year and has a volatility of 15%. We also

  assume that dividends and rates are zero. We sell a 1-year call

  option with an implied volatility of 20% against this position.

  This at-the-money covered call has a delta of 0.47 when evaluated

  at the realized volatility, so it will earn 4.7% from its exposure to

  the stock's appreciation (to a first approximation). Also, this

  option has a premium of $7.97 ($2.00 more than it would have

  been worth at the true realized volatility). So, about 25% of the

  option premium that the seller collected is harvesting the volatility

  premium. That is, we expect to gain 2.0% a year from harvesting

  the short volatility premium. Here the total expected return of the

  covered call is 6.7%. Although this example has a lower expected

  return than the stock, it also has lower volatility.

  Obviously, this theoretical decomposition varies with respect to

  the volatility premium, and the ex-post return is affected by both

  realized volatility and return. Also, the strike choice and

  expiration of the short call determines how much of the profit

  comes from directional exposure and how much co
mes from

  volatility harvesting.

  First, we look at the decomposition as a function of a strike

  assuming all strikes have the same variance premium. This is

  shown in Figure 8.7.

  We can see that although the equity premium is an increasing

  function of strike, the volatility premium is peaked at strikes just

  156

  above the current stock price. This is where the option's sensitivity

  to volatility (vega) is greatest, so it is also where exposure to the

  volatility premium is maximized.

  Note that if there is no volatility premium, the covered call earns

  just the stock return multiplied by its delta (the exposure to its

  underlying equity). This is the most important concept. Selling

  options only makes sense if a volatility premium exists. Further, if

  an investor is more confident in the existence of the volatility

  premium, he should sell options just above the ATM. Conversely,

  if he is more confident in the equity return, he should sell options

  that are further out of the money. The fact that different investors

  have different forecasting abilities means that they will also

  choose different option structures.

  FIGURE 8.7 The total profit of the covered call and how much comes from equity return and volatility premium.

  Covered Calls and Fundamentals

  It is well-known that value stocks, momentum stocks, low-beta

  stocks, and small-cap stocks tend to be the best performers. So,

  investors should preferentially own these. Sadly, with the

  exception of momentum stocks, these classes of equities tend to

  have the lowest variance premia. This means that the investor has

  157

  to choose between better delta performance or better variance

  performance and make the strike choice accordingly. Again, this

  choice will depend on the ability of the individual trader.

  It is also important to note that the variance premium and

  subsequent stock returns (the two sources of edge) are not

  completely independent. High-variance premium predicts high

  future stock returns. This effect has been extensively studied (see,

  for example, Bollerslev and Zhou, 2007; Bollerslev and Todorov,

  2011; Kelly and Jiang, 2014; Bollerslev et al., 2014) and exists for both single stocks and at the index level. This effect is strong

  enough that it can be used as a timing signal: when the variance

 

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