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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

Choosing meaningful names


A perpetuity describes the situations where equivalent periodic cash flows happen in the future and last forever. For example, we receive $5 at the end of each year forever. A real-world example is the UK government bond, called consol, that pays fixed coupons. To estimate the present value of a perpetuity, we use the following formula if the first cash flow occurs at the end of the first period:

Here, PV is the present value, C is a perpetual periodic cash flow that happens at a fixed interval, and R is the periodic discount rate. Here C and R should be consistent. For example, if C is annual (monthly) cash flow, then R must be an annual (monthly) discount rate. This is true for other frequencies too. Assume that a constant annual cash flow is $10, with the first cash flow at the end of the first year, and that the annual discount rate is 10 percent. Compare the following two ways to name the C and R variables:

>>>x=10       # bad way for variable names...
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