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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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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

The if() function


The present value of a growing perpetuity has the following formula:

Here, C is the first cash flow occurring at the end of the first period, R is the effective periodic rate, and g is the constant growth rate. The second and the third future cash flows will be and , respectively. A necessary condition for the correctness of equation (3) is that the discount rate should be greater than the growth rate, that is, R should be greater than g. What is the present value if C is $10, R is 10 percent, and g is 12 percent? The wrong answer is -500. For these similar cases, we could use the if() function to print an error message instead of offering the wrong answer, as shown in the following code:

def pv_growing_perpetuity(c,r,g):
    if(r<g):
        print("r<g !!!!")
    else:
        return(c/(r-g))    

We could try different sets of input values, as shown in the following code:

>>>pv_growing_perpetuity(10,0.1,0.08)
499.9999999999999
>>>pv_growing_perpetuity...
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