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Python for Finance

You're reading from  Python for Finance

Product type Book
Published in Apr 2014
Publisher
ISBN-13 9781783284375
Pages 408 pages
Edition 1st Edition
Languages
Author (1):
Yuxing Yan Yuxing Yan
Profile icon Yuxing Yan

Table of Contents (20) Chapters

Python for Finance
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Introduction and Installation of Python Using Python as an Ordinary Calculator Using Python as a Financial Calculator 13 Lines of Python to Price a Call Option Introduction to Modules Introduction to NumPy and SciPy Visual Finance via Matplotlib Statistical Analysis of Time Series The Black-Scholes-Merton Option Model Python Loops and Implied Volatility Monte Carlo Simulation and Options 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:

The future value for compounded interest is as follows:

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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