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Author:Hrycay, Mark 

Working Paper
Parameterizing credit risk models with rating data

Estimates of average default probabilities for borrowers assigned to each of a financial institution's internal credit risk rating grades are crucial inputs to portfolio credit risk models. Such models are increasingly used in setting financial institution capital structure, in internal control and compensation systems, in asset-backed security design, and are being considered for use in setting regulatory capital requirements for banks. This paper empirically examines properties of the major methods currently used to estimate average default probabilities by grade. Evidence of potential ...
Finance and Economics Discussion Series , Paper 2000-47

Conference Paper
Parameterizing credit risk models rating data: current limits of actuarial approaches

Proceedings , Paper 684

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