Exposure at Default Models
Calculate the Exposure at Default (EAD) using a Regression, Tobit, or Beta model to predict the amount of loss exposure for a bank when a debtor defaults on a loan. Calculate the estimated loss reserves using Expected Credit Loss (ECL) calculator.
|Create specified EAD model object type (Since R2021b)
|Predict exposure at default (Since R2021b)
|Compute AUROC and ROC data (Since R2021b)
|Plot ROC curve (Since R2021b)
|Compute R-square, RMSE, correlation, and sample mean error of predicted and observed EADs (Since R2023a)
|Scatter plot of predicted and observed EADs (Since R2023a)
Lifetime Expected Credit Loss (ECL) Calculator
- Compare Results for Regression and Tobit EAD Models
This example shows how to use
fitEADModelto create a
Regressionmodel and a
Tobitmodel for exposure at default (EAD) and then compare the results.
- Expected Credit Loss Computation
This example shows how to perform expected credit loss (ECL) computations with
portfolioECLusing simulated loan data, macro scenario data, and an existing lifetime probability of default (PD) model.
- Incorporate Macroeconomic Scenario Projections in Loan Portfolio ECL Calculations
This example shows how to generate macroeconomic scenarios and perform expected credit loss (ECL) calculations for a portfolio of loans.
- Modeling Probabilities of Default with Cox Proportional Hazards
This example shows how to work with consumer (retail) credit panel data to visualize observed probabilities of default (PDs) at different levels.
- Overview of Exposure at Default Models
Exposure at default (EAD) is the loss exposure for a bank when a debtor defaults on a loan.