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Python for Finance. - Second Edition

You're reading from  Python for Finance. - Second Edition

Product type Book
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Pages 586 pages
Edition 2nd Edition
Languages

Table of Contents (23) Chapters

Python for Finance Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Python Basics Introduction to Python Modules Time Value of Money Sources of Data Bond and Stock Valuation Capital Asset Pricing Model Multifactor Models and Performance Measures Time-Series Analysis Portfolio Theory Options and Futures Value at Risk Monte Carlo Simulation Credit Risk Analysis Exotic Options Volatility, Implied Volatility, ARCH, and GARCH Index

European options with known dividends


Assume that we have a known dividend d1 distributed at time T1, T1<T, where T is our maturity date. We can modify the original Black-Scholes-Merton option model by replacing S0 with S, where :

In the preceding example, if we have a known dividend of $1.5 delivered in one month, what is the price of the call?

>>>import p4f
>>>s0=40
>>>d1=1.5
>>>r=0.015
>>>T=6/12
>>>s=s0-exp(-r*T*d1)
>>>x=42
>>>sigma=0.2 
>>>round(p4f.bs_call(s,x,T,r,sigma),2)
1.18

The first line of the program imports the module called p4f which contains the call option model. The result shows that the price of the call is $1.18, which is lower than the previous value ($1.56). It is understandable since the price of the underlying stock would drop roughly by $1.5 in one month. Because of this, the chance that we could exercise our call option will be smaller, that is, less likely to go beyond $42. The preceding...

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