Journal of Credit Risk

IFRS 9 compliant economic adjustment of expected credit loss modeling

Mariya Gubareva

  • Expected Credit Loss (ECL) modeling using CDS spreads is developed for the low default portfolios in line with IFRS 9
  • CDS spreads are decomposed into default and non-default components for varying maturities
  • The spread-implied point-in-time PDs are calibrated to the long-run observed default rates
  • The proposed method reduces subjectivity of ECL estimates as solely observable data are used

This paper presents an International Financial Reporting Standard 9 (IFRS 9) compliant solution related to expected credit loss modeling. Commonly, credit default swap (CDS) spreads are considered as market indicators of future debt performance. However, we demonstrate empirically that nondefault risks explain a relevant part of the CDS spread, and we assess the average weight-of-default component for each point in the CDS spread term structure. Thus, to be used for probability of default estimations, CDS spreads must be adjusted for the nondefault component to guarantee the neutral character of expected credit loss estimations, as required by IFRS 9. Our study introduces an innovative methodology for extracting the pure default component and probability of default calibration. To enable economic adjustment of probabilities of default we analyze the relationship between a long-run average of the across-the-sample mean CDS spread of the homogeneous cohort of issuers and the spread implied by the long-run average of the observed default rates. Our easy-to-implement solution is applied to a sample of investment-grade and high-yield corporate debt issuers. We exploit differences in the economic performance of North American and eurozone obligors. The proposed framework allows us to understand complex interactions between the forward-looking impairment provisions and economic capital requirements in relation to credit losses.

To continue reading...

You need to sign in to use this feature. If you don’t have a account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: