Inferred Rate of Default as a Credit Risk Indicator in the Bulgarian Bank System

Author:

Boutchaktchiev Vilislav12ORCID

Affiliation:

1. Faculty of Applied Informatics and Statistics, University of National and World Economy, 1700 Sofia, Bulgaria

2. Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria

Abstract

The inferred rate of default (IRD) was first introduced as an indicator of default risk computable from information publicly reported by the Bulgarian National Bank. We have provided a more detailed justification for the suggested methodology for forecasting the IRD on the bank-group- and bank-system-level based on macroeconomic factors. Furthermore, we supply additional empirical evidence in the time-series analysis. Additionally, we demonstrate that IRD provides a new perspective for comparing credit risk across bank groups. The estimation methods and model assumptions agree with current Bulgarian regulations and the IFRS 9 accounting standard. The suggested models could be used by practitioners in monthly forecasting the point-in-time probability of default in the context of accounting reporting and in monitoring and managing credit risk.

Funder

UNWE Research Program

Publisher

MDPI AG

Subject

General Physics and Astronomy

Reference25 articles.

1. Boutchaktchiev, V. (2022, January 14). Models for Measuring and Forecasting the Inferred Rate of Default. Proceedings of the International Conference on New Trends in the Applications of Differential Equations in Sciences, Sozopol, Bulgaria.

2. Basel Committee on Banking Supervision (2016). Prudential Treatment of Problem Assets—Definitions of non-Performing Exposures and Forbearance, BIS. Consultative Document.

3. Milanova, E. (2016). Compatibility between IFRS 9 Financial Instruments and the Basel Capital Requirements Framework, ICPA. (In Bulgarian).

4. Point-in-time loss-given default rates and exposures at default models for IFRS 9/CECL and stress testing;Chawla;J. Risk Manag. Financ. Inst.,2016

5. A risk-factor model foundation for ratings-based bank capital rules;Gordy;J. Financ. Intermed.,2003

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