Macroeconomic Approach to Point in Time Probability of Default Modeling – IFRS 9 Challenges

Author:

Đurović Andrija1

Affiliation:

1. BRD – Groupe Societe Generale , Bucharest , Romania

Abstract

Abstract This paper aims to present one possible retail estimation framework of lifetime probability of default in accordance with IFRS 9. The framework rests on “term structure of probability of default” conditional to given forward-looking macroeconomic dynamics. Due to the one of the biggest limitation of forward-looking modelling – data availability, model averaging technique for quantification of macroeconomic effect on default probability is explained.

Publisher

Walter de Gruyter GmbH

Subject

Strategy and Management,Economics and Econometrics,Finance

Reference21 articles.

1. 1. Allen, L. N. and Rose, L. C. (2006), Financial survival analysis of defaulted debtors, Journal of Operational Research Society, 57, 630-636.

2. 2. Baba, N. and Goko, H. (2006), Survival analysis of hedge funds, Bank of Japan, Working Papers Series No. 06er S

3. 3. Belkin, B., Suchower, S., Forest, L. R. (1998), A one-parameter representation of credit risk and transition matrices. Working paper, KPMG Peat Marwick LLP

4. 4. Breeden, J. L. (2010), Reinventing Retail Lending Analytics: Forecasting, Stress Testing, Capital, and Scoring for a World of Crises. Risk books, London

5. 5. Brunel, V. (2016), Lifetime PD Analytics for Credit Portfolios: Retrieved from: https://ssrn.com/abstract=2857183

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