Automated Option Trading Create, Optimize, and Test Automated Trading Systems

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Edition: 1st
Format: Hardcover
Pub. Date: 2012-03-23
Publisher(s): Ft Pr
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Summary

The first and only book of its kind, Automated Options Tradingdescribes a comprehensive, step-by-step process for creating automated options trading systems. Using the authors' techniques, sophisticated traders can create powerful frameworks for the consistent, disciplined realization of well-defined, formalized, and carefully-tested trading strategies based on their specific requirements. Unlike other books on automated trading, this book focuses specifically on the unique requirements of options, reflecting philosophy, logic, quantitative tools, and valuation procedures that are completely different from those used in conventional automated trading algorithms. Every facet of the authors' approach is optimized for options, including strategy development and optimization; capital allocation; risk management; performance measurement; back-testing and walk-forward analysis; and trade execution. The authors' system reflects a continuous process of valuation, structuring and long-term management of investment portfolios (not just individual instruments), introducing systematic approaches for handling portfolios containing option combinations related to different underlying assets. With these techniques, it is finally possible to effectively automate options trading at the portfolio level. This book will be an indispensable resource for serious options traders working individually, in hedge funds, or in other institutions.

Author Biography

Sergey Izraylevich, Ph.D., Chairman of the Board of High Technology Invest Inc., has traded options for well over a decade and currently creates automated systems for algorithmic option trading. A Futures magazine columnist, he has authored numerous articles for highly rated, peer-reviewed scientific journals. He began his career as a lecturer at The Hebrew University of Jerusalem and Tel-Hay Academic College, receiving numerous awards for academic excellence, including Golda Meir’s Prize and the Max Shlomiok honor award of distinction.

Vadim Tsudikman, President of High Technology Invest Inc., is a financial consultant and investment advisor specializing in derivatives valuation, hedging, and capital allocation in extreme market environments. With more than 15 years of option trading experience, he develops complex trading systems based on multicriteria analysis and genetic optimization algorithms.

Izraylevich and Tsudikman coauthored Systematic Options Trading (FT Press) and regularly coauthor Futures magazine articles on cutting-edge issues related to option pricing, volatility, and risk management.

Table of Contents

Introductionp. xv
Development of Trading Strategiesp. 1
Distinctive Features of Option Trading Strategiesp. 1
Nonlinearity and Options Evaluationp. 1
Limited Period of Options Lifep. 2
Diversity of Optionsp. 3
Market-Neutral Option Trading Strategiesp. 4
Basic Market-Neutral Strategyp. 4
Points and Boundaries of Delta-Neutralityp. 6
Analysis of Delta-Neutrality Boundariesp. 10
Quantitative Characteristics of Delta-Neutrality Boundariesp. 14
Analysis of the Portfolio Structurep. 21
Partially Directional Strategiesp. 34
Specific Features of Partially Directional Strategiesp. 35
Embedding the Forecast into the Strategy Structurep. 36
The Call-to-Put Ratio at the Portfolio Levelp. 40
Basic Partially Directional Strategyp. 42
Factors Influencing the Call-to-Put Ratio in an Options Portfoliop. 44
The Concept of Delta-Neutrality as Applied to a Partially Directional Strategyp. 49
Analysis of the Portfolio Structurep. 57
Delta-Neutral Portfolio as a Basis for the Option Trading Strategyp. 61
Structure and Properties of Portfolios Situated at Delta-Neutrality Boundariesp. 62
p. 67
Optimizationp. 73
General Overviewp. 73
Parametric Optimizationp. 73
Optimization Spacep. 75
Objective Functionp. 78
Optimization Space of the Delta-Neutral Strategyp. 79
Dimensionality of Optimizationp. 80
Acceptable Range of Parameter Valuesp. 85
Optimization Stepp. 87
Objective Functions and Their Applicationp. 88
Optimization Spaces of Different Objective Functionsp. 89
Interrelationships of Objective Functionsp. 91
Multicriteria Optimizationp. 96
Convolutionp. 97
Optimization Using the Pareto Methodp. 99
Selection of the Optimal Solution on the Basis of Robustnessp. 102
Averaging the Adjacent Cellsp. 103
Ratio of Mean to Standard Errorp. 104
Surface Geometryp. 106
Steadiness of Optimization Spacep. 108
Steadiness Relative to Fixed Parametersp. 109
Steadiness Relative to Structural Changesp. 110
Steadiness Relative to the Optimization Periodp. 112
Optimization Methodsp. 114
A Review of the Key Direct Search Methodsp. 116
Comparison of the Effectiveness of Direct Search Methodsp. 127
Random Searchp. 131
Establishing the Optimization Framework: Challenges and Compromisesp. 134
Risk Managementp. 135
Payoff Function and Specifics of Risk Evaluationp. 135
Linear Financial Instrumentsp. 136
Options as Nonlinear Financial Instrumentsp. 138
Risk Indicatorsp. 139
Value at Risk (VaR)p. 140
Index Deltap. 141
Asymmetry Coefficientp. 157
Loss Probabilityp. 159
Interrelationships Between Risk Indicatorsp. 161
Method for Testing the Interrelationshipsp. 161
Correlation Analysisp. 162
Establishing the Risk Management System: Challenges and Compromisesp. 165
Capital Allocation and Portfolio Constructionp. 167
Classical Portfolio Theory and Its Applicability to Optionsp. 167
Classical Approach to Portfolio Constructionp. 168
Specific Features of Option Portfoliosp. 169
Principles of Option Portfolio Constructionp. 170
Dimensionality of the Evaluation Systemp. 170
Evaluation Levelp. 173
Indicators Used for Capital Allocationp. 174
Indicators Unrelated to Return and Risk Evaluationp. 174
Indicators Related to Return and Risk Evaluationp. 178
One-Dimensional System of Capital Allocationp. 183
Factors Influencing Capital Allocationp. 183
Measuring the Capital Concentration in the Portfoliop. 192
Transformation of the Weight Functionp. 196
Multidimensional Capital Allocation Systemp. 204
Method of Multidimensional Systetn Applicationp. 204
Comparison of Multidimensional and One-Dimensional Systemsp. 206
Portfolio System of Capital Allocationp. 209
Specific Features of the Portfolio Systemp. 209
Comparison of Portfolio and Elemental Systemsp. 211
Establishing the Capital Allocation System: Challenges and Compromisep. 214
Backtesting of Option Trading Strategiesp. 217
Databasep. 217
Data Vendorsp. 218
Database Structurep. 219
Data Accessp. 220
Recurrent Calculationsp. 221
Checking Data Reliability and Validityp. 222
Position Opening and Closing Signalsp. 225
Signals Generation Principlesp. 225
Development and Evaluation of Functionalsp. 226
Filtration of Signalsp. 227
Modeling of Order Executionp. 228
Volume Modelingp. 229
Price Modelingp. 230
Commissionsp. 231
Backtesting Frameworkp. 232
In-Sample Optimization and Out-of-Sample Testingp. 232
Adaptive Optimizationp. 233
Overfitting Problemp. 234
Evaluation of Performancep. 236
Single Event and Unit of Time Framep. 236
Review of Strategy Performance Indicatorsp. 237
The Example of Option Strategy Backtestingp. 242
Establishing the Backtesting System: Challenges and Compromisesp. 246
Bibliographyp. 247
Appendixp. 251
Basic Notionsp. 251
Payoff Functionsp. 254
Separate Optionsp. 254
Option Combinationsp. 255
Indexp. 261
Table of Contents provided by Ingram. All Rights Reserved.

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