Modelling default rate in a retail portfolio and the estimation of portfolio risk
Considering correlation as the major driving factor for portfolio risk, Farshad Mashayekhi and Joy Wang present a methodology for the estimation of correlation among retail exposures based on historical default rates in pools of retail accounts. The estimation results can improve the corporate correlation models in portfolio analytics and give a more accurate measure of risk in credit portfolios that include exposures to individuals
Retail exposures, such as residential mortgages, credit cards, auto loans, and student loans make up a large share of credit portfolios in many financial institutions. According to the Federal Deposit Insurance Corporation (FDIC), retail exposures comprised 47% (nearly $2.7 trillion) of all outstanding loans originated by US commercial banks in early 2007 (see figure 1). In addition, these retail exposures make up a large portion of collateral in structured products with about $500 billion
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Risk management
Buy side would welcome more guidance on managing margin calls
FSB report calls for regulators to review existing standards for non-bank liquidity management
Japanese megabanks shun internal models as FRTB bites
Isda AGM: All in-scope banks opt for standardised approach to market risk; Nomura eyes IMA in 2025
Benchmark switch leaves hedging headache for Philippine banks
If interest rates are cut before new benchmark docs are ready, banks face possible NII squeeze
Op risk data: Tech glitch gives customers unlimited funds
Also: Payback for slow Paycheck Protection payouts; SEC hits out at AI washing. Data by ORX News
The American way: a stress-test substitute for Basel’s IRRBB?
Bankers divided over new CCAR scenario designed to bridge supervisory gap exposed by SVB failure
Industry warns CFTC against rushing to regulate AI for trading
Vote on workplan pulled amid calls to avoid duplicating rules from other regulatory agencies
Top 10 op risks: Change brings challenges as banks splash the cash
Higher interest margins and a trend toward insourcing drive major tech projects
Top 10 op risks: deepfakes drive rise in fraud fears
External fraud re-enters top 10 as artificial intelligence provides new tools for criminals
Most read
- Top 10 operational risks for 2024
- Japanese megabanks shun internal models as FRTB bites
- LCH issued highest cash call in more than five years