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Positional Option Trading (Wiley Trading)

Page 27

by Euan Sinclair

Implied skewness premium, 46–47

  Implied variance premium, 40–42

  Implied volatility, 36, 46–47, 61–62, 76, 123, 133

  asymmetric implied volatility skew, 191

  example, 140t

  skew, 102–104, 103t

  Implied volatility surface, 7f

  Index options, 78

  Index restructuring, 177–178

  Index variance swaps, sale, 47

  Industry beta, 82

  Inefficiencies, trader profit, 14–15

  Inefficiency-based strategy, half-life, 15

  Inflation, examples, 171–172

  Information, 13–14, 70

  Information, price implications (agreement), 13

  In-sample data sets, usage, 23

  251

  Interest rates, 183–186

  Interpolation, usage, 34–35

  Intuition, 30, 36

  Investment ratio, change effect (quantification), 160

  Investors, overconfidence/overreaction, 69–70, 81

  J

  Japanese candlesticks, 22

  Jump risk, 52

  K

  Kelly control/criterion, 147–149, 158–161, 167–169, 169t

  Kelly ratio, 127, 155, 160f, 161f

  Knowledge, classification, 30

  Know your customer (KYC) due diligence, 173

  L

  Liquidity providers, opportunities, 53

  Long call, 54, 55f, 127, 129–131

  Long-dated futures, expense, 61

  Long option, usage, 54

  Long stock, 128, 133

  Long straddle strategy, results, 72f

  Long-term growth rate (maximization), Kelly criterion (usage),

  147–148

  Long volatility positions profits, increase, 66–67

  Loss aversion/size, 19, 71, 72

  Losses (limitation), stops (usage), 165

  M

  252

  Market, 12, 16, 20, 52–53, 64

  impact (total cost component), 200

  risk, reduction, 77

  Mean reversion, allowance, 34

  Mean-reverting strategy, usage, 58

  Mean, weighted three-point estimate, 196

  Median final underlying price, 119

  Meta risks, 171

  Mid-market prices, usage, 72

  Mispriced short straddle, returns (summary statistics), 89t

  Model-driven forecasting, 30–33

  Model-free directional trading, 114

  Model-free volatility trading, 4

  Modified BSM model, performance (comparison), 192

  Momentum, behavioral roots, 67

  Money put options, sell-out, 133

  Monte Carlo simulation, usage, 104

  Mutual funds, performance, 26

  N

  NASDAQ 100, variance premia, 44, 44f

  Nikkei, drop, 174–175

  No-good-deal theory (Cerny/Hodges), 189

  Noise traders, 13, 18

  Nonconstant volatility, 190–192

  Non-farm Payroll report, PPI release, 76

  Non-normality, 149

  Non-normal outcomes, 149–154

  Non-normal return distribution, creation, 190–191

  Normal backwardation, theory, 62

  253

  Notional exposure, maintenance, 59

  O

  Occurrence rate, upper bound, 197

  Offshoring, impact, 15

  Opportunity cost (total cost component), 200

  Option pricing models, 1, 4, 5

  Options, 3–10, 101f, 106t, 109, 113–118, 157f, 157t

  factors/dependencies, 63–68, 189

  hedging, imperfectly correlated underlying (inclusion), 190f

  non-redundancy, 52

  premia, ignoring, 107

  pricing inputs, range estimates (conversion), 195–196

  real options, financial options (distinctions), 188–189

  returns, distribution (summary statistics), 118–120

  risk-neutral option prices, subjective option prices

  (comparison), 117t

  value, factors, 188

  Orders, fill-price, 202

  OTM calls/puts, 102, 130

  Outperformance, determination, 24

  Over-betting, 155, 158t

  Overconfidence, 18

  Overnight effect, 75

  Overnight returns, volatility (reduction), 75

  Overoptimism, 19

  P

  Patterns, subjectivity, 22

  Percentage-based trailing stop, usage, 168

  Peso problem, 55–56

  254

  P/L, 54, 130, 141

  dispersion, reduction, 100

  standard deviation, 190f

  terminal distributions, 85

  PL distribution, 8, 9f, 100t, 102t, 128f

  Poorly priced butterfly, profit distribution, 96f

  Poorly priced condor, profit distribution, 97f

  Poorly priced short strangle, returns (summary statistics), 90t

  Portfolios, 64–67

  Post-earnings announcement drift (PEAD), 21, 68–75, 82

  PPI announcement, impact, 50

  Pre-BSM pricing models, usage, 115

  Pre-earnings announcement drift, 81–82

  Pre-earnings anomalies, 82

  Pre-earnings long straddles, profitability, 74

  Price changes (total cost component), 200

  Price-to-book (P/B) ratio, 63, 64, 66

  Price-to-cash flow (P/CF) ratio, 63, 65

  Price-to-earnings (P/E) straddle trading results, 64

  Profitable trades, risk adjustment, 12

  ProShares Ultra VIX short-term futures ETF (UVXY), 178, 201t,

  202–203

  Psychological explanations, problem, 17

  Purchasing power parity, 58

  Puts, 102, 105t, 133, 144t

  put-call parity, 95, 116

  put-call relationship, 115

  short put, 55f, 127, 131, 137–138, 141t

  p-value, defining, 24

  255

  Q

  Quarter Kelly, full Kelly (trading comparison), 169t

  R

  Range estimates, conversion, 195–196

  Rational expectations hypothesis, 41

  Rational expectations theory, 12, 41

  Ratio spreads, 142–145

  Realized skewness, 47

  Realized volatility, 86, 103f, 103t, 123t, 124t, 140t

  Real options, 188–189

  Return on asset (RoA)/return on equity (RoE) straddle trading

  results, 65

  Return paths, 53f, 54f

  Returns, 24, 53–55, 95, 118–120, 162f

  Risk, 52–53, 117t, 118, 161, 171–179

  factor, 26

  ratios, 127–128

  reduction, cost, 101

  reversal, 127, 138–143, 139f, 139t, 140t, 141t

  slide, 144t

  volatility risk premia, volatility, 78–80

  Rolling 30-day close-to-close volatility, 34f

  Rule of five/rule of three, 196–198

  Russell 2000, variance premia, 44, 44f

  S

  Sampling, 24, 157–158

  Second-month implied volatility, 102t

  Second-month volatility, 101

  Self-attribution bias, 19

  256

  Selling volatility, positive expected value, 88–89

  Shares, stock price (summary statistics), 128t

  Sharpe ratio, 47, 121–122, 127

  Short-dated futures, expense, 61

  Shorter-dated options, hedges (comparison), 108

  Short front-month straddle, PL distribution (summary statistics),

  100t, 102t

  Shorting ability, 187–190

  Short option volability indices (CBOE), 45

  Short put, 55f, 127, 131, 137–138

  Short sales proceeds, risk-free rate investment, 6

  Short straddle, 73f, 87f, 94f

  Short s
traddle returns, 87t, 89f, 89t, 91t

  Short strangle, 88f

  Short strangle returns, 88t, 90f, 90t, 91t

  Short-term thinking, 19

  Short volatility products, popularity, 59–60

  Single 241 put, risk slide, 144t

  Situational forecasting, 30–33

  Sizing fraction, variance, 156

  Skew, 46–47, 141–143, 191

  Skewness, 141, 153, 154f

  Smart beta factors, risk/behavioral reasons, 68t

  Spread bet arbitrage, usage, 178

  Spread payment, requirement, 202

  SPY, 7f, 35, 35f, 104, 105t, 107t

  Standard & Poor's 100 (S&P100), 63–64

  257

  Standard & Poor's 500 (S&P500), 29, 37t, 79, 133, 134t

  options, 47, 110

  realized volatility, VIX (impact), 42f

  returns, 91, 92f, 99t

  variance premium, 43f, 43t

  volatility EWMA forecast, 38t

  Standard & Poor's (S&P) GSCI Commodity Index, 58

  Stocks, 25–26, 51t, 55f

  dividend payments, absence, 186

  returns (prediction), high-variance premium (usage), 136

  Stops, 161–169, 162f, 163f, 164f

  Straddles, 64–66, 86–93, 93t, 94t, 95f, 100, 100t, 101f, 102t

  Strangles, 86–93, 88f, 88t, 93t, 94t, 103f, 103t, 107t

  Strawman arguments, usage, 148

  Strikes, 104–109, 118f, 120–124, 120f, 123t, 124t, 131, 133

  Subjective option prices, risk-neutral option prices (comparison),

  117t

  Subjective option pricing, 113–118

  Subjective technical analysis, 22

  T

  Taxes, absence, 186–187

  Technical analysis, 13, 21–25

  Terminal PL distribution, 8f, 9f

  Term structure, 7, 42f, 62

  Theft, impact, 173–174

  Thesis/antithesis/synthesis, 18

  Theta, 6, 77

  Three-point estimators, 195

  Time series analysis, 67

  258

  Time until expiration, 4

  Time-varying crash risk factor, risk premums, 79

  Total cost, components, 200

  Traders, 17, 133, 182

  Trades, 25, 32–33, 147

  execution, 199, 204–205

  location, positive expected value, 57

  profitability, 71, 72

  risk, stops (usage), 165

  simulation (return distribution), trailing stop (usage), 164f

  Trading, 52, 80–81, 187–190

  opportunities, classification, 31

  results, skewness level, 158t

  statistical rules of thumb, 195

  strategy, return distribution, 162f

  Trailing stop, 164, 168

  Transaction costs, absence, 13

  Trend-following, 58

  Trend lines, 22

  Two-option hedge, expense, 108–109

  U

  Uncertain parameters, 154–158

  Uncertainty premiums, risk premiums, 79–80

  Uncertainty, signifiers, 74

  Underlying, 6, 187–190

  Underlying price/strike, 4

  Unhedged option, return, 115

  V

  259

  Variance premium, 39, 44f

  commodity sectors, correlation, 49t

  equity indices usage, 42–46

  implied variance premium, 40–42

  reasons, 51

  size/significance (commodity options), 48t

  S&P500 variance premium, 43f

  Variance swaps, 50, 51t

  Vega, 6, 86, 95, 95f, 101, 144

  vega per option, 104

  Volatility, 4–9, 34f, 76–80, 103f, 103t, 190–192

  arbitrage model, 32

  decrease, 34

  delta-neutral volatility strategies, profitability, 70–71

  explosions, 30

  forecasting, 29, 35f

  positions, 85

  prediction, 143

  premium, 4, 135, 136f

  shorting, 143

  uncertainty, 79

  Volatility Index (VIX), 25, 39–41, 41f, 42f, 50, 62

  action, prediction, 32

  construction, 36

  creation/tradability, 16

  ETNs, 59, 60

  front-month VIX future, sale (profit), 40f, 42f

  initiation, 16

  sorting, summary statistics, 44t

  260

  Volatility Index of Volatility Index (VVIX), 78–80

  Volume-weighted average price (VWAP), 199, 203, 204

  VXX (volatility ETN), 59

  W

  Weekend effect, 77–78

  Weekend returns, establishment, 78

  White's reality check (WRC), 23, 24

  Windowing effect, 33

  Win potential, 141

  Win size, example, 71, 72

  Y

  Year-over-year earnings, focus, 69

  Z

  Zero size price, 202

  261

  WILEY END USER LICENSE

  AGREEMENT

  Go to www.wiley.com/go/eula to access Wiley’s ebook EULA.

  262

  263

  Document Outline

  COVER

  INTRODUCTION Trading as a Process

  Summary

  CHAPTER 1: Options Option Pricing Models

  Option Trading Theory

  Conclusion

  Summary

  CHAPTER 2: The Efficient Market Hypothesis and Its Limitations The Efficient Market Hypothesis

  Aside: Alpha Decay

  Behavioral Finance

  High-Level Approaches: Technical Analysis and Fundamental Analysis

  Conclusion

  Summary

  CHAPTER 3: Forecasting Volatility Model-Driven Forecasting and Situational Forecasting

  The GARCH Family and Trading

  Implied Volatility as a Predictor

  Ensemble Predictions

  Conclusion

  Summary

  CHAPTER 4: The Variance Premium Aside: The Implied Variance Premium

  Variance Premium in Equity Indices

  The Implied Skewness Premium

  The Implied Correlation Premium

  Commodities

  Bonds

  The VIX

  Currencies

  Equities

  Reasons for the Variance Premium

  Insurance

  Jump Risk

  Trading Restrictions

  Market-Maker Inventory Risk

  Path Dependency of Returns

  The Problem of the Peso Problem

  Conclusion

  Summary

  CHAPTER 5: Finding Trades with Positive Expected Value Aside: Crowding

  Trading Strategies

  Options and Fundamental Factors

  Post-Earnings Announcement Drift (PEAD)

  Confidence Level Two

  The Overnight Effect

  FOMC and Volatility

  The Weekend Effect

  Volatility of Volatility Risk Premia

  Confidence Level One

  Earnings-Induced Reversals

  Pre-Earnings Announcement Drift

  Conclusion

  Summary

  CHAPTER 6: Volatility Positions Aside: Adjustment and Position “Repair”

  Straddles and Strangles

  Aside: Delta-Hedged Positions

  Butterflies and Condors

  Aside: Broken Wing Butterflies and Condors

  Calendar Spread

  Including Implied Volatility Skew

  Strike Choice

  Choosing a Hedging Strike

  Expiration Choice

  Conclusion

  Summary

  CHAPTER 7: Directional Option Trading Subjective Option Pricing

  A Theory of Subjective Option Pricing

  Distribution of Option Returns: Summary Statistics
r />   Strike Choice

  Fundamental Considerations

  Conclusion

  Summary

  CHAPTER 8: Directional Option Strategy Selection Long Stock

  Long Call

  Long Call Spread

  Short Put

  Covered Calls

  Components of Covered Call Profits

  Covered Calls and Fundamentals

  Short Put Spread

  Risk Reversal

  Aside: The Risk Reversal as a Skew Trade

  Ratio Spreads

  Conclusion

  Summary

  CHAPTER 9: Trade Sizing The Kelly Criterion

  Non-normal Discrete Outcomes

  Non-normal Continuous Outcomes

  Uncertain Parameters

  Kelly and Drawdown Control

  The Effect of Stops

  Conclusion

  Summary

  CHAPTER 10: Meta Risks Currency Risk

  Theft and Fraud

  Example One: Baring's Bank

  Example Two: Yasumo Hamanaka, aka “Mr. Copper”

  Example Three: Bernie Madoff

  Index Restructuring

  Arbitrage Counterparty Risk

  Conclusion

  Summary

  CONCLUSION

  APPENDIX 1: Traders' Adjustments to the BSM Assumptions The Existence of a Single, Constant Interest Rate

  The Stock Pays No Dividends

  Absence of Taxes

  The Ability to Trade and Short the Underlying

  Nonconstant Volatility

  Conclusion

  Summary

  APPENDIX 2: Statistical Rules of Thumb Converting Range Estimates to Option Pricing Inputs

  Rule of Five

  Rule of Three

  APPENDIX 3: Execution Example

  REFERENCES

  INDEX

  END USER LICENSE AGREEMENT

 

 

 


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