Book Image

Python for Finance - Second Edition

By : Yuxing Yan
5 (1)
Book Image

Python for Finance - Second Edition

5 (1)
By: Yuxing Yan

Overview of this book

This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM’s market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option.
Table of Contents (23 chapters)
Python for Finance Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
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, one-year, and five-year migration...