Skip to Content
The Credit Market Handbook: Advanced Modeling Issues
book

The Credit Market Handbook: Advanced Modeling Issues

by H. GIFFORD FONG
February 2006
Beginner to intermediate
252 pages
6h 44m
English
Wiley
Content preview from The Credit Market Handbook: Advanced Modeling Issues

CHAPTER 1

Estimating Default Probabilities Implicit in Equity Prices

Tibor Janosi,a Robert Jarrow,b,* and Yildiray Yildirimc

This chapter uses a reduced-form credit risk model to estimate default probabilities implicit in equity prices. For a cross section of firms, a time-series regression of monthly equity returns is estimated. We show that it is feasible to infer the firm's probability of default implicit in equity returns. However, the existence of price bubbles and the difficulty in modeling equity price risk premium confound the estimation of these default probabilities, generating potentially biased estimates with large standard errors. Comparing these default intensities with those obtained from historical data or implicitly from debt prices confirms this result.

1. INTRODUCTION

Given the recent exponential growth in the credit derivatives market (see Risk Magazine, 2000), credit risk modeling and estimation have become topics of interest. The theoretical literature is quite extensive (see Bielecki and Rutkowski, 2000, for a review). The empirical literature estimating reduced-form credit risk models has concentrated on using debt prices (see Duffie, 1999; Duffie and Singleton, 1997; Duffie et al., 2000; Janosi et al., 2002; Madan and Unal, 1998), credit derivative prices (see Hull and White, 2000, 2001), or bankruptcy histories (see Altman, 1968; Chava and Jarrow, 2002; Shumway, 2001; Zmijewski, 1984). Equity prices have only been used to estimate default parameters ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Credit Derivatives: A Primer on Credit Risk, Modeling, and Instruments

Credit Derivatives: A Primer on Credit Risk, Modeling, and Instruments

George Chacko, Anders Sjöman, Hideto Motohashi, Vincent Dessain

Publisher Resources

ISBN: 9780471778622Purchase book