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Doubly Stochastic Reduced Form Credit Risk Model and Default Probability Uncertainty – a Technical Toolkit

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  • Jonas Vogt

Abstract

Reduced form credit risk models provide a versatile platform to model credit risks and to quantify the interplay between the stochastic dimension of default probabilities and credit spread levels. This article gives a brief introduction to the required technical foundations and discusses the approach to examine uncertainties regarding default probabilities and credit spreads which has been established by [1]. The intention of this article is to help academic researcher as well as practitioners to understand related research projects, to do new research on this question or to improve credit risk models used in financial institutions.Mathematics Subject Classification: G12; G13Keywords: Credit Risk; Reduced Form Credit Risk Models; Variance Premium

Suggested Citation

  • Jonas Vogt, 2017. "Doubly Stochastic Reduced Form Credit Risk Model and Default Probability Uncertainty – a Technical Toolkit," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(2), pages 1-2.
    • Handle: RePEc:spt:stecon:v:6:y:2017:i:2:f:6_2_2
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    References listed on IDEAS

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    1. Davidson, James, 1994. "Stochastic Limit Theory: An Introduction for Econometricians," OUP Catalogue, Oxford University Press, number 9780198774037.
    2. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
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