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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

Writing a Python function without saving it

We start from the simplest way to write a Python program. The formula of estimating the present value for a given future cash flow is as follows:

Writing a Python function without saving it

In this equation, PV is the present value FV is the future value R is the periodic discount rate, and n is the number of periods. After launching Python, we just type the following two lines. After typing the second line, press the Enter key on our keyboard twice to return to the Python prompt of >>>:

>>>def pv_f(pv,r,n):
             return fv/(1+r)**n
>>>

The key word used to write a Python function is def. The function name is pv_f. The input variables are enclosed in the parentheses. Notice that upon pressing the Enter key after we type colon (:), the next line is automatically indented. Now, we are ready to call this present value function easily just as any Python built-in function. One of the wonderful features is that after typing the function name and the left parenthesis...

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