Arbeitspapier

The empirical relation between credit quality, recovery and correlation

Credit risk is an important issue in many finance areas, such as the determination of cost of capital, the valuation of corporate bonds and pricing of credit derivatives. Credit risk has also been a cause and consequence of the current financial crisis. Thus, methods for measuring credit risk, default probabilities, and recoveries have caught more and more attention in the financial literature. The majority of industry credit portfolio risk models, as well as recent scientific results, are based on isolated modules for default probabilities and recoveries in the event of default. This paper shows that these common methods lead to various econometric drawbacks when the parameters are interpreted and aggregated for risk capital allocation and pricing purposes. This paper provides a top down approach in which individual credit risk parameters are derived analytically from a single model. This model allows for a i) dynamic, ii) consistent, and iii) unbiased modeling of credit portfolio risks. An empirical analysis provides evidence for the inferred relationship between credit quality, recovery and correlation.

Language
Englisch

Bibliographic citation
Series: Diskussionsbeitrag ; No. 418

Classification
Wirtschaft
Financial Institutions and Services: General
Financial Institutions and Services: Government Policy and Regulation
Model Construction and Estimation
Subject
Asset Value
Correlation
Credit Portfolio
Loss Given Default
Merton Model
Probability of Default
Recovery
Volatility
Kreditrisiko
Kreditwürdigkeit
Portfolio-Management
Ökonometrisches Modell
Value at Risk
Korrelation
Theorie
Schätzung
Rentenmarkt
USA

Event
Geistige Schöpfung
(who)
Rösch, Daniel
Scheule, Harald
Event
Veröffentlichung
(who)
Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät
(where)
Hannover
(when)
2009

Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Rösch, Daniel
  • Scheule, Harald
  • Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät

Time of origin

  • 2009

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