Default Risk
in Bond and Credit Derivatives Markets

This is the author's PhD thesis in which he empirically tests today's reduced form models of credit risk. The thesis starts by reviewing structural and reduced form models. The author correctly points out that, although the original Merton structural model directly modeled credit risk as the deterioration of a firm's capital, more recent versions have entail assumptions that stray from that intuitive economic interpretation. The author tests reduced form models against bond and credit default swap data. Results are largely disappointing. Issues may relate to

the fact that credit spreads and liquidity spreads are difficult to distinguish from one another;

data issues, or

shortcomings of the models.

Contents

1. Introduction

2. On the economic content of models of default risk

3. Intensity-based modeling of default

4. The empirical performance of reduced-form models of default risk

5. Explaining credit default swap premia

6. Conclusion

App. A Calculation of volatility proxies

The implications for current credit risk models are significant and should concern financial engineers, risk managers and regulators.

The book's methodologies and results should be interesting primarily to researchers but also to financial engineers, regulators, risk managers and software vendors. While this is an empirical, a lot of current theory is also covered, and there are plenty of citations to the emerging literature. [10/28/05]

 

For related books, see sections:

Financial Engineering - Pricing Credit Risk

Markets - Credit Derivatives, CDOs

Risk Management - Credit Risk

Mathematics - Financial Math

 

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