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Python for Finance

You're reading from  Python for Finance

Product type Book
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Pages 408 pages
Edition 1st Edition
Languages
Author (1):
Yuxing Yan Yuxing Yan
Profile icon Yuxing Yan

Table of Contents (20) Chapters

Python for Finance
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Introduction and Installation of Python Using Python as an Ordinary Calculator Using Python as a Financial Calculator 13 Lines of Python to Price a Call Option Introduction to Modules Introduction to NumPy and SciPy Visual Finance via Matplotlib Statistical Analysis of Time Series The Black-Scholes-Merton Option Model Python Loops and Implied Volatility Monte Carlo Simulation and Options Volatility Measures and GARCH Index

Greek letters for options


In the option theory, several Greek letters, usually called Greeks, are used to represent the sensitivity of the price of derivatives such as options to bring a change in the underlying security. Collectively, those Greek letters are also called the risk sensitivities, risk measures, or hedge parameters.

Delta () is defined as the derivative of the option to its underlying security price. The delta of a call is defined as follows:

We could design a hedge based on the delta value. The delta of a European call on a non-dividend-paying stock is defined as follows:

For example, if we write one call, we could buy delta number of shares of stocks so that a small change in the stock price is offset by the change in the short call. The definition of the delta_call() function is quite simple. Since it is included in the p4f.py file, we can call it easily, as shown in the following code:

>>>from p4f import *
>>>round(delta_call(40,40,1,0.1,0.2),4)
0.7257

The...

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