Template-Type: ReDIF-Paper 1.0

Author-Name: Henry Penikas
Author-Email: henry_penikas@cbr.ru
Author-Workplace-Name: Bank of Russia, Russian Federation


Title: IRB Asset and Default Correlation: Rationale for the Macroprudential Add-ons to the Risk-Weights


Abstract: Basel III allows for the use of statistical models. It is called the internal-ratings-based (IRB) approach and is based on the (Vasicek, 2002) model. It assumes assets returns are standard normally distributed. It suggests incorporating different asset correlation (R) functions to assess credit risk for the loan portfolio, or the risk-weighted assets (RWA). The asset correlation func-tion solely depends on the individual default probability (PD) given certain credit exposure type. 
At the same time, the IRB approach requires developing PD models to predict the dis-crete default event occurrence. This means that the IRB approach is based on the Bernoulli trials. We investigate the impact of the asset returns’ correlation for the Bernoulli trials. We show that when Bernoulli trials are considered, the credit risk estimation significantly deviate from the val-ues derived under the normality assumption of asset returns.
We investigate the simulated and real-world credit rating agencies’ data to specifically demonstrate the scale of the credit risk underestimation by the IRB approach. Therefore, macroprudential add-ons are of use to offset such IRB limitations.



Length: 31 pages
Creation-Date: 2020-07
Revision-Date:
Publication-Status:
File-URL: http://cbr.ru/Content/Document/File/108514/wp-56_e.pdf
File-Format: Application/pdf
File-Function:
Number: wps56
Classification-JEL: C25, G21, G28, G32, G33
Keywords: Basel II, IRB, correlated defaults, asset correlation, binomial distribution, Bernoulli trials, macroprudential add-ons (mark-ups)
Handle:RePEc:bkr:wpaper:wps56