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  1. Estimating asset correlations from stock prices or default rates
    which method is superior?
    Published: 14 Apr. 2008
    Publisher:  Deutsche Bundesbank, Frankfurt am Main

    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... more

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Universitätsbibliothek Osnabrück
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    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.

     

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    Content information
    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783865583970
    Series: Array ; 2008,04
    Subjects: Kreditrisiko; Kapitaleinkommen; Rendite; Korrelation; Schätztheorie; Vergleich; Theorie
    Scope: Online-Ressource, 33 S. = 420 KB, Text, graph. Darst.
    Notes:

    Zsfassungen in dt. und engl. Sprache