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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 power function, floor, and remainder

For our FV=PV(1+R)^n, we use a power function. The floor function would give the largest integer smaller than the current value. The remainder is the value that remains after an integer division. Given a positive discount rate, the present value of a future cash flow is always smaller than its corresponding future value.

The following formula specifies the relationship between a present value and its future value:

The power function, floor, and remainder

In this formula, PV is the present value, FV is the future value, R is the cost of capital (discount rate) per period, and n is the number of periods. Assume that we would receive $100 payment in two years and that the annual discount rate is 10 percent. What is the equivalent value today that we are willing to accept?

>>>100/(1+0.1)**2
82.64462809917354

Here, ** is used to perform a power function. The % operator is used to calculate the remainder. Refer to the following example for the implementation of these operators:

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