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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

Chapter 13. Credit Risk Analysis

The objective of credit risk analysis is trying to measure the probability of potential failure to pay a promised amount. A credit rating reflects the credit worthiness of a firm or a bond. A firm's rating is different from its bond's rating since the latter depends on its maturity and certain features such as whether it is callable or puttable. In Chapter 5, Bond and Stock Valuation, we have learnt the concept of Yield to Maturity (YTM) or simply yield, which is correlated with credit quality. The lower its credit quality; the higher its required return, that is, a higher yield. In this chapter, we will discuss many basic concepts related to credit risk, such as credit rating, credit spread, 1-year credit rating migration matrix, probability of default, loss given default, recovery rate, and KMV model. In particular, the following topics will be covered:

  • Moody's, Standard and Poor's, and Fitch's credit ratings
  • Credit spread...
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