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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

Pricing barrier options

Unlike the Black-Scholes-Merton option model's call and put options, which are path-independent, a barrier option is path-dependent. A barrier option is similar in many ways to an ordinary option, except a trigger exists. An in option starts its life worthless unless the underlying stock reaches a predetermined knock-in barrier. On the contrary, an out barrier option starts its life active and turns useless when a knock-out barrier price is breached. In addition, if a barrier option expires inactive, it may be worthless, or there may be a cash rebate paid out as a fraction of the premium. The four types of barrier options are given as follows:

  • Up-and-out: In this barrier option, the price starts from below a barrier level. If it reaches the barrier, it is knocked out.
  • Down-and-out: In this barrier option, the price starts from above a barrier. If it reaches the barrier, it is knocked out.
  • Up-and-in: In this barrier option, the price starts down a barrier and has...
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