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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

Stock valuation

There are several ways to estimate the price of a stock. One method is called the dividend discount model. The logic is that the price of a stock today is simply the summation of the present value of all its future dividends. Let's use the simplest one period model to illustrate. We expect a $1 dividend at the end of one year and its selling price is expected to be $50. If the appropriate cost of equity is 12%, what is the price of stock today? The timeline and future cash flows are shown here:

Stock valuation

The price of stock is simply the present values of those two future cash flows, $45.54:

>> (1+50)/(1+0.12)
>>>
     45.535714285714285
>>> import scipy as sp
>>>sp.pv(0.12,1,1+50)
     -45.53571428571432

Let's look at a two-period model. We expect two dividends of $1.5 and $2 at the end of the next 2 years. In addition, the selling price is expected to be $78. What is the price today?

Stock valuation

Assume that for this stock, the appropriate discount rate...

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