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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

European, American, and Bermuda options

In Chapter 10, Options and Futures, we have learnt that for a European option, the option buyer could exercise their right only on maturity dates, while for an American option buyer, they could exercise their right any time before and on maturity dates. Thus, an American option would be more valuable than its counterparty of European option. Bermudan options could be exercised once or several times on a few predetermined dates. Consequently, the price of a Bermudan option should be between a European and an American option with the same features, such as the same maturity dates and the same exercises prices, see the following two inequalities for call options:

European, American, and Bermuda options

Here is an example for a Bermudan option. Assume that a company issues a 10-year bond. After seven years, the company could call back, that is, retire, the bond at the end of each year for the next three years. This callable property is eventually an embedded Bermudan option with exercise dates...

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