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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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Toc

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

A 2-stock portfolio

Clearly, a 2-stock portfolio is the simplest one. Let's assume that the weights of those two stocks are w1 and w2. The portfolio returns are given here:

A 2-stock portfolio

Here, Rp,t, is the portfolio return at time t, w1 (w2) is the weight for stock 1 (2), and R1,t (R2,t) is return at time t for stock 1 (2). When talking about expected return or mean, we have a quite similar formula:

A 2-stock portfolio

Here, A 2-stock portfolio is the mean or expected portfolio returns and A 2-stock portfolio A 2-stock portfolio is the mean or expected returns for stock 1 (2). The variance of such a 2-stock portfolio is given here:

A 2-stock portfolio

Here, A 2-stock portfolio is the portfolio variance and A 2-stock portfolio is the standard deviation for stock 1 (2). The definitions of variance and standard for stock 1 are shown here:

A 2-stock portfolio A 2-stock portfolio is the covariance (correlation) between stocks 1 and 2. They are defined here:

A 2-stock portfolio

For covariance, if it is positive, then those two stocks usually would move together. On the other hand, if it is negative, they would move in the opposite way most of times. If the covariance is zero, then they are not...

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