Option Strategy Hedging & Risk Management: An In-Depth Article Introducing an Interactive Analytical Framework for Hedging Option Strategy Risk


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Brian Johnson, an investment professional with over 30 years of experience, is the author of three pioneering books on options: 1) Option Strategy Risk / Return Ratios, 2) Exploiting Earnings Volatility, and 3) Option Income Strategy Trade Filters. His new in-depth (80+ page) article, Option Strategy Hedging and Risk Management, presents a comprehensive analytical framework and accompanying spreadsheet tools for managing and hedging option strategy risk. Drawing on his extensive background in option-pricing and on decades of experience in investment management and trading, Brian Johnson developed these practical techniques to hedge the unique and often overlooked risks associated with trading option strategies. These revolutionary new tools can be applied to any option strategy, in any market environment. Option Strategy Hedging and Risk Management is written in a clear, easy-to-understand fashion and explains how to apply market-specific hedging techniques, using several different hedging vehicles. Created especially for readers who have some familiarity with options, this practical guide begins with a review of position sizing, including a detailed analysis of the implicit assumptions and embedded risks that could have disastrous consequences, particularly for option traders. Chapter 2 includes a comprehensive description and analysis of the actual option strategy, position model, and trade rules that are used to create real-world option strategy hedges in the subsequent chapters. This is followed by a thorough explanation and a concrete example of how to use futures to hedge option strategy exit risk. Surprisingly, futures are not well understood in the option community and very few traders employ this simple, effective, and virtually free hedging tool. The next two chapters present a common analytical and hedging framework that is used to identify the most cost-effective hedging solutions for an actual option strategy in a real-world market environment. The process used to identify the lowest-cost hedging solution using actual VIX call options is explained in Chapter 4, followed by the same hedging analysis using put options on the underlying security in Chapter 5. All hedging examples in the article use real-time market prices and actual analytical results. Proprietary research is included in the article to provide validation for the analytical framework. The article was written to be accessible to a wide audience, so very few mathematical formulas are provided in the text. However, several important formulas are included to facilitate the understanding of important concepts, and to provide further research opportunities for inquisitive traders. The article also includes thirty separate graphs and tables to illustrate how the tools can be used in practice. Perhaps most important, Option Strategy Hedging and Risk Management includes a download link to the accompanying Excel spreadsheet with macros designed to perform all of the position sizing and hedging calculations in the article. Chapters 1, 3, 4, and 5 all have their own dedicated tabs in the spreadsheet. The data from the article is included in the spreadsheet, which allows the reader to reproduce all of the examples from the article. All of the spreadsheet functions are automated through the use of push-button macros, making spreadsheet operation as simple as possible. Finally, Chapter 6 examines practical considerations and prospective applications of these innovative new tools.

Author: Brian Johnson
Publisher: Trading Insights, LLC
Published: 03/28/2017
Pages: 128
Binding Type: Paperback
Weight: 0.40lbs
Size: 9.02h x 5.98w x 0.27d
ISBN13: 9780996182324
ISBN10: 0996182322
BISAC Categories:
- Business & Economics | Investments & Securities | Options
- Business & Economics | Investments & Securities | Analysis & Trading Strategies

About the Author
Brian Johnson designed, programmed, and implemented the first return sensitivity based parametric framework actively used to control risk in fixed income portfolios. He further extended the capabilities of this approach by designing and programming an integrated series of option valuation, prepayment, and optimization models. Based on this technology, Mr. Johnson founded Lincoln Capital Management's fixed income index business, where he ultimately managed over $13 billion in assets for some of the largest and most sophisticated institutional clients in the U.S. and around the globe. He later served as the President of a financial consulting and software development firm, designing artificial intelligence-based forecasting and risk management systems for institutional investment managers. Mr. Johnson is now a full-time proprietary trader in options, futures, stocks, and ETFs primarily using algorithmic trading strategies. In addition to his professional investment experience, he also designed and taught courses in financial derivatives for both MBA and undergraduate business programs. He is the author of two groundbreaking books on options: 1) Option Strategy Risk / Return Ratios: A Revolutionary New Approach to Optimizing, Adjusting, and Trading Any Option Income Strategy, and 2) Exploiting Earnings Volatility: An Innovative New Approach to Evaluating, Optimizing, and Trading Option Strategies to Profit from Earnings Announcements. His recent in-depth (100+ page) article, Option Income Strategy Trade Filters, represents the culmination of years of research into developing a systematic framework for optimizing the timing of Option Income Strategy (OIS) trades. He has also written articles for the Financial Analysts Journal, Active Trader, and Seeking Alpha and he regularly shares his trading insights and research ideas as the editor of https: //www.traderedge.net/. Mr. Johnson holds a B.S. degree in finance with high honors from the University of Illinois at Urbana-Champaign and an MBA degree with a specialization in Finance from the University of Chicago Booth School of Business.

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