Arbeitspapier

Estimating Implied Recovery Rates from the Term Structure of CDS Spreads

Credit risk models should reflect the observation that the relevant value of collateral is generally not the average value of the asset over all possible states of nature. In most cases, the relevant value of collateral for the lender is its secondary market value in bad states of nature, where marginal utilities are high. Although the negative correlation between recovery rates and default probabilities is well documented, the majority of pricing models does not allow for correlation between the two. In this paper, we propose a relatively parsimonious reduced-form continuous time model that estimates expected recovery rates and default probabilities from the term structure of CDS spreads. The parameters of the model and latent factors driving recovery risk and default risk are estimated using a Bayesian MCMC algorithm. We find that the Bayesian deviance information criterion (DIC) favors the model with stochastic recovery over constant recovery. We also observe that for companies with a good rating, implied constant recovery rates do not differ much from stochastic recovery. However, if a company is very risky, then forward stochastic recovery rates are significantly lower at longer maturities.

Sprache
Englisch

Erschienen in
Series: Tinbergen Institute Discussion Paper ; No. 13-005/III

Klassifikation
Wirtschaft
Contingent Pricing; Futures Pricing; option pricing
Financial Forecasting and Simulation
Bankruptcy; Liquidation
Interest Rates: Determination, Term Structure, and Effects
Thema
Constant recovery
stochastic recovery
implied recovery rate
term structure
CDS spreads
Kreditderivat
Zinsstruktur
Risikoprämie
Stochastischer Prozess
Bayes-Statistik
USA

Ereignis
Geistige Schöpfung
(wer)
Jaskowski, Marcin
McAleer, Michael
Ereignis
Veröffentlichung
(wer)
Tinbergen Institute
(wo)
Amsterdam and Rotterdam
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Jaskowski, Marcin
  • McAleer, Michael
  • Tinbergen Institute

Entstanden

  • 2013

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