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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

YIELD of AAA-rated bond, Altman Z-score

From the previous sections, we have learnt that the spread between a bond's yield and a treasury bond's yield with the same maturity is the default risk premium. To retrieve the yields for AAA and AA bonds, we use the following codes. Moody's Seasoned Aaa Corporate Bond Yield can be downloaded at https://fred.stlouisfed.org/series/AAA. The dataset can be downloaded at http://canisius.edu/~yany/python/moodyAAAyield.p. Note that the .png of .p is fine for the .pickle format:

import pandas as pd
x=pd.read_pickle("c:/temp/moodyAAAyield.p")
print(x.head())
print(x.tail())

The output is shown here:

YIELD of AAA-rated bond, Altman Z-score

Note that the values of the second column, for the dataset called moodyAAAyield.p, are annualized. Thus, if we want to estimate a monthly yield (rate of return) in January 1919, the yield should be 0.4458333%, that is, 0.0535/12.

Altman's z-score is widely applied in finance for credit analysis to predict the possibility of a firm going...

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