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Python for Finance

You're reading from   Python for Finance If your interest is finance and trading, then using Python to build a financial calculator makes absolute sense. As does this book which is a hands-on guide covering everything from option theory to time series.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Length 408 pages
Edition 1st 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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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction and Installation of Python FREE CHAPTER 2. Using Python as an Ordinary Calculator 3. Using Python as a Financial Calculator 4. 13 Lines of Python to Price a Call Option 5. Introduction to Modules 6. Introduction to NumPy and SciPy 7. Visual Finance via Matplotlib 8. Statistical Analysis of Time Series 9. The Black-Scholes-Merton Option Model 10. Python Loops and Implied Volatility 11. Monte Carlo Simulation and Options 12. 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 (Greek letters for options) is defined as the derivative of the option to its underlying security price. The delta of a call is defined as follows:

Greek letters for options

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:

Greek letters for options

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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