Arbeitspapier

Estimating asset correlations from stock prices or default rates: which method is superior?

This paper sets out to help explain why estimates of asset correlations based on equity prices tend to be considerably higher than estimates based on default rates. Resolving this empirical puzzle is highly important because, firstly, asset correlations are a key driver of credit risk and, secondly, both data sources are widely used to calibrate risk models of financial institutions. By means of a simulation study, we explore the hypothesis that differences in the correlation estimates are due to a substantial downward bias characteristic of estimates based on default rates. Our results suggest that correlation estimates from equity returns are more efficient than those from default rates. This finding still holds if the model is misspecified such that asset correlations follow a Vasicek process which affects foremost the estimates from equity returns. The results lend support for the hypothesis that the downward bias of default-rate based estimates is an important although not the only factor to explain the differences in correlation estimates. Furthermore, our results help to quantify the estimation error of asset correlations dependent on the risk characteristics of the underlying data base.

Sprache
Englisch

Erschienen in
Series: Discussion Paper Series 2 ; No. 2008,04

Klassifikation
Wirtschaft
Estimation: General
Bankruptcy; Liquidation
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Thema
Asset correlation
single risk factor model
small sample properties
structural model
Basel II
Kreditrisiko
Kapitalertrag
Rendite
Korrelation
Schätztheorie
Vergleich
Theorie

Ereignis
Geistige Schöpfung
(wer)
Düllmann, Klaus
Kunisch, Michael
Küll, Jonathan
Ereignis
Veröffentlichung
(wer)
Deutsche Bundesbank
(wo)
Frankfurt a. M.
(wann)
2008

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Düllmann, Klaus
  • Kunisch, Michael
  • Küll, Jonathan
  • Deutsche Bundesbank

Entstanden

  • 2008

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