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Trading Options at Expiration
Book

Trading Options at Expiration

Strategies and Models for Winning the Endgame

FT Press, 2009 mais...

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Editorial Rating

8

Qualities

  • Innovative
  • Applicable

Recommendation

Investors commonly use pricing models and formulas to determine the fair value of call options to buy stock and put options to sell stock. But formulaic fair value does not account for all the pricing dynamics that affect options near their expiration dates. That is why the price of an expiring option often diverges from its fair value. This pattern of distorted pricing creates trading opportunities in the options market that are less risky and potentially more rewarding than holding the underlying stock over the long term. Jeff Augen’s compact, focused book details strategies for trading options on the third Thursday and Friday of each month, before the options expire that Saturday. He cautions that investors must be aware of collateral funding needs, regulatory requirements, investment minimums and other sophisticated details. Because Augen assumes that the reader has substantial background knowledge, professional traders may have the most to gain from his mathematically rigorous insights. getAbstract, which recommends books, but not investments (the opinions in the summary are those of the author), also suggests this book to amateur investors who are familiar with options and seek the next level of professional information.

Take-Aways

  • Buying and selling options as they expire takes precise “minute-by-minute” data, “hard work, focused attention and practice.”
  • Trading options near expiration is a mathematics-based form of day trading.
  • The time remaining to sell an option declines dramatically near the end of the expiration week, which is the third week of each month.

About the Author

Jeff Augen is a private investor and an expert on information technology. He is an instructor at the New York Institute of Finance and the author of The Option Trader’s Workbook, The Volatility Edge in Options Trading and Bioinformatics in the Post-Genomic Era.


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