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Python for Finance

You're reading from   Python for Finance Apply powerful finance models and quantitative analysis with Python

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Product type Paperback
Published in Jun 2017
Publisher
ISBN-13 9781787125698
Length 586 pages
Edition 2nd Edition
Languages
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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 (17) Chapters Close

Preface 1. Python Basics FREE CHAPTER 2. Introduction to Python Modules 3. Time Value of Money 4. Sources of Data 5. Bond and Stock Valuation 6. Capital Asset Pricing Model 7. Multifactor Models and Performance Measures 8. Time-Series Analysis 9. Portfolio Theory 10. Options and Futures 11. Value at Risk 12. Monte Carlo Simulation 13. Credit Risk Analysis 14. Exotic Options 15. Volatility, Implied Volatility, ARCH, and GARCH Index

Writing your own financial calculator in Python

It could be viewed as a great achievement when a new Python learner could write his/her own financial calculator. The basic knowledge to do so includes the following:

  • Knowledge on how to write a function
  • What are the related finance formulae?

For the latter, we have learnt from the preceding sections, such as the formula to calculate the present value of one future cash flow. Let's write the simplest Python function to double an input value:

def dd(x):
    return 2*x

Here, def is the keyword for writing a function, dd is the function name, and x in the parentheses is an input variable. For Python, the indentation is critical. The preceding indentation indicates that the second line is the part of the dd function. Calling this function is the same as calling other built-in Python functions:

>>>dd(5)
 10
>>>dd(3.42)
 6.84

Now, let's write our simplest financial calculator. First, launch Python and use its editor to enter...

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