New model predicts bank losses more accurately, changing credit risk rules.
The article explores how the correlation between the likelihood of a loan defaulting and the amount lost in that default affects banks' expected losses. By analyzing real default rates and simulating data, the researchers found that this correlation is significant and should be considered in risk assessment models. They suggest that banks could use this information to better predict and allocate resources for potential losses, leading to more accurate risk management strategies.