Article (Scientific journals)
Validation nightmare: the slotting approach under International Financial Reporting Standard 9
Guigou, Jean-Daniel; Prorokowski, Lukasz; Deev, Oleg
2021In Journal of Risk Model Validation, 15 (2), p. 63-100
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Abstract :
[en] This paper makes an important contribution to the practice of validation by focusing on an under-researched area of the slotting approach to real estate specialized lending under the International Financial Reporting Standard 9 (IFRS 9) framework. The paper introduces the concept of mapping the probability of default estimates to the slotting scores. A sequential process for deriving the correspondence between the slotting scores and probabilities of default of a particular obligor is proposed as a solution to adapting the slotting approach to the IFRS 9 rules. This solution is especially useful for capturing the increase in credit risk under the IFRS 9 rules using denotching and staging processes. All in all, this paper addresses the research questions of whether and how a slotting model can be used for IFRS 9 compliance purposes. In addition to the core aim of the paper, which is the provision of a probability of default mapping solution under the IFRS 9 framework, we also explain the methodology of a slotting model, discussing specific modeling choices for the real estate slotting approach aligned to the relevant regulatory framework. In doing so, we provide an example of a slotting model that can be used by practitioners as a challenger model during the validation exercise.
Disciplines :
Finance
Author, co-author :
Guigou, Jean-Daniel ;  University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Department of Finance (DF)
Prorokowski, Lukasz
Deev, Oleg
External co-authors :
yes
Language :
English
Title :
Validation nightmare: the slotting approach under International Financial Reporting Standard 9
Publication date :
June 2021
Journal title :
Journal of Risk Model Validation
ISSN :
1753-9587
Publisher :
Incisive Media, United States
Volume :
15
Issue :
2
Pages :
63-100
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 12 November 2022

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