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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
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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 (14) Chapters Close

Preface 1. Introduction and Installation of Python 2. Using Python as an Ordinary Calculator FREE CHAPTER 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

The Black-Scholes-Merton option model on non-dividend paying stocks

The Black-Scholes-Merton option model is a closed-form solution to price a European option on a stock that does not pay any dividends before its maturity date. If we use The Black-Scholes-Merton option model on non-dividend paying stocks for the price today, X for the exercise price, r for the continuously compounded risk-free rate, T for the maturity in years, and The Black-Scholes-Merton option model on non-dividend paying stocks for the volatility of the stock, the closed-form formulae for a European call (c) and put (p) will be as follows:

The Black-Scholes-Merton option model on non-dividend paying stocks

Here, N() is the cumulative standard normal distribution. The following Python code snippet represents the preceding formulae to evaluate a European call:

from scipy import log,exp,sqrt,stats
def bs_call(S,X,T,r,sigma):
    d1=(log(S/X)+(r+sigma*sigma/2.)*T)/(sigma*sqrt(T))
    d2 = d1-sigma*sqrt(T)
    return S*stats.norm.cdf(d1)-X*exp(-r*T)*stats.norm.cdf(d2)

In the preceding program, the stats.norm.cdf() function is the cumulative normal distribution, that is, N() in the Black-Scholes-Merton option model. The current...

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