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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

Introduction to CRSP

For this book, our focus is free public data. Thus, we only discuss a few financial databases since some readers might from schools with valid subscription. CRSP is the one. In this chapter, we mention just three Python datasets.

Center for Research in Security Prices (CRSP). It contains all trading data, such as closing price, trading volume, and shares outstanding for all listed stocks in the US from 1926 onward. Because of its quality and long history, it has been used intensively by academic researchers and practitioners. The first dataset is called crspInfo.pkl, see the following code:

import pandas as pd
x=pd.read_pickle("c:/temp/crspInfo.pkl")
print(x.head(3))
print(x.tail(2))

The related output is shown here:

   PERMNO  PERMCO     CUSIP                       FIRMNAME TICKER  EXCHANGE  \
0   10001    7953  36720410                GAS NATURAL INC   EGAS         2   
1   10002    7954  05978R10  BANCTRUST FINANCIAL GROUP INC   BTFG         3   
2   10003...
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