Abstract
To ensure accurate predictions of loss given default it is necessary to test the goodness-of-fit of the recovery rate data to the Beta distribution, assuming that its parameters are unknown. In the presence of unknown parameters, the Cramer-von Mises test statistic is neither asymptotically distribution free nor parameter free. In this paper, we propose to compute approximated critical values with a parametric bootstrap procedure. Some simulations show that the bootstrap procedure works well in practice.
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Baixauli, J.S., Alvarez, S. (2006). On the Performance of Recovery Rate Modeling. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751595_112
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DOI: https://doi.org/10.1007/11751595_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34075-1
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