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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

Summary

The options we've discussed in Chapter 10, Options and Futures are usually called vanilla options that have a close-form solution, that is, the Black-Scholes-Merton option model. In addition to those vanilla options, many exotic options exist. In this chapter, we have discussed several types of exotic options, such as Bermudan options, simple chooser options, shout and binary options, average price options, Up-and-in options, up-and-out options, and down-and-in and down-and-out options. For a European call, the option buyer could exercise their right at the maturity date, while for an American option buyer, they could exercise their right any time before or on the maturity date. A Bermudan option could be exercised a few times before maturity.

In the next chapter, we will discuss various volatility measures, such as our conventional standard deviation, Lower Partial Standard Deviation (LPSD). Using the standard deviation of returns as a risk measure is based on a critical assumption...

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