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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

Annuity estimation


An annuity is the same periodic cash flows occurring at the same interval for n periods. There are two types of annuity: ordinary annuity when cash flows occur at the end of each period and annuity due when cash flows happen at the beginning of each period. Here is an example. We are going to receive $100 at the end of each year for the next 7 years. The formulae to estimate the present value and the future value of an annuity are as follows when their first cash flows happens at the end of the first period:

Here, PV is the present value, PMT is the equal periodic payment, R is the periodic discount rate, and n is the number of periods. In the preceding annuity formulae, PMT, R, and n should be consistent. It means that PMT, R, and n should possess the same frequency. For example, for mortgage estimation, PMT is the monthly payment, R is an effective monthly rate, and n is the number of months. If the annuity enjoys a constant growth rate of g, its present value is as follows...

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