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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 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

Understanding simple and compounded interest rates

Many students and practitioners are confused with the difference between simple interest and compound interest. Simple interest does not consider interest on interest while compound interest does. It is a good idea to represent them with a graph. For instance, we borrow $1,000 today for 10 years with an annual interest of 8 percent per year. What are the future values if 8 percent is the simple interest and compounded interest rate? The formula for payment of a simple interest rate is as follows:

Understanding simple and compounded interest rates

The future value for compounded interest is as follows:

Understanding simple and compounded interest rates

Here, PV is the load we borrow today, that is, present value, R is the period rate, and n is the number of periods. Thus, those two future values will be $1,800 and $2,158.93. The following program offers a graphic representation of a principal, simple interest payment, and the future values:

import numpy as np
from matplotlib.pyplot import *
from pylab import *
pv=1000
r=0.08
n=10
t=linspace...
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