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Python for Finance

You're reading from   Python for Finance Apply powerful finance models and quantitative analysis with Python

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd Edition
Languages
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Author (1):
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Yuxing Yan Yuxing Yan
Author Profile Icon Yuxing Yan
Yuxing Yan
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Table of Contents (17) Chapters Close

Preface 1. Python Basics FREE CHAPTER 2. Introduction to Python Modules 3. Time Value of Money 4. Sources of Data 5. Bond and Stock Valuation 6. Capital Asset Pricing Model 7. Multifactor Models and Performance Measures 8. Time-Series Analysis 9. Portfolio Theory 10. Options and Futures 11. Value at Risk 12. Monte Carlo Simulation 13. Credit Risk Analysis 14. Exotic Options 15. Volatility, Implied Volatility, ARCH, and GARCH Index

Chapter 14. Exotic Options

In Chapter 10, Options and Futures, we have discussed the famous Black-Scholes-Merton option model and various trading strategies involving various types of options, futures, and underlying securities. The Black-Scholes-Merton closed-form solution is for European options that could be exercised only on maturity dates. American options could be exercised before or on a maturity date. Usually, those types of options are called vanilla options. On the other hand, there exist various types of exotic options that have all sorts of features making them more complex than commonly traded vanilla options.

For example, if an option buyer could exercise their right several times before the maturity date, it is called a Bermudan option. In Chapter 12, Monte Carlo Simulation, two types of exotic options are discussed. Many exotic options (derivatives) may have several triggers relating to their payoffs. An exotic option may also include non-standard underlying security...

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