Methodological Thoughts on Expected Loss Estimation for IFRS 9 Impairment: Hidden Reserves, Cyclical Loss Predictions and LGD Backtesting

Published in Credit Technology by Serasa Experian, No 92, p 7-29, on Sept 1, 2015 (in English and Portuguese with local market additions by Carlos Antonio Campos Nogueira).

31 Pages Posted: 11 Aug 2015 Last revised: 12 Jan 2016

Date Written: January 4, 2015

Abstract

After the release of the final accounting standards for impairment in July 2014 by the IASB, banks will face the next significant methodological challenge after Basel 2. In this paper, first methodological thoughts are presented, and ways how to approach underlying questions are proposed.

It starts with a detailed discussion of the structural conservatism in the final standard. The exposure value iACV© (idealized Amortized Cost Value), as originally introduced in the Exposure Draft 2009 (ED 2009), will be interpreted as economic value under amortized cost accounting and provides the valuation benchmark under IFRS 9. Consequently, iACV© can be used to quantify conservatism (ie potential hidden reserves) in the actual implementation of the final standard and to separate operational side-effects caused by the local implementation from actual credit risk impacts.

The second part continues with a quantification of expected credit losses based on “Impact of Risk©” instead of traditional cost of risk measures. An objective framework is suggested which allows for improved testing of forward looking credit risk estimates during credit cycles. This framework will prove useful to mitigate overly pro-cyclical provisioning and to reduce earnings volatility.

Finally, an LGD monitoring and backtesting approach, applicable under regulatory requirements and accounting standards as well, is proposed. On basis of the “NPL Dashboard”, part of the “Impact of Risk©” framework, specific key risk indicators are introduced that allow for a detailed assessment of collections performance versus LGD in in NPL portfolio (bucket 3).

Keywords: Credit risk, IFRS 9 Impairment, ED 2009, iACV(c), PD, EAD, LGD, Expected Loss, Backtesting, Basel II, IRBA, Loan Loss Provisions, Impact of Risk(c), IoR(c), PL Dashboard, NPL Dashboard

JEL Classification: M40, M41, C10, C60

Suggested Citation

Reitgruber, Wolfgang, Methodological Thoughts on Expected Loss Estimation for IFRS 9 Impairment: Hidden Reserves, Cyclical Loss Predictions and LGD Backtesting (January 4, 2015). Published in Credit Technology by Serasa Experian, No 92, p 7-29, on Sept 1, 2015 (in English and Portuguese with local market additions by Carlos Antonio Campos Nogueira).. Available at SSRN: https://ssrn.com/abstract=2641688

Wolfgang Reitgruber (Contact Author)

Erste Group Bank AG ( email )

Am Belvedere 1
Vienna, 1100
Austria
+436645456571 (Phone)

HOME PAGE: http://at.linkedin.com/in/wolfgangreitgruber

Register to save articles to
your library

Register

Paper statistics

Downloads
1,030
Abstract Views
2,468
rank
20,531
PlumX Metrics