# Loss Given Default Models

Calculate the loss given default (LGD) using a Regression, Tobit, or Beta model. Calculate the estimated loss reserves using Expected Credit Loss (ECL) calculator.

## Functions

## Objects

`Regression` | Create `Regression` model object for loss given
default (Since R2021a) |

`Tobit` | Create `Tobit` model object for loss given default (Since R2021a) |

`Beta` | Create `Beta` model object for loss given default (Since R2022b) |

## Topics

**Basic Loss Given Default Model Validation**This example shows how to perform basic model validation on a loss given default (LGD) model by viewing the fitted model, estimated coefficients, and

*p*-values.**Compare Tobit LGD Model to Benchmark Model**This example shows how to compare a

`Tobit`

model for loss given default (LGD) against a benchmark model.**Compare Loss Given Default Models Using Cross-Validation**This example shows how to compare loss given default (LGD) models using cross-validation.

**Expected Credit Loss Computation**This example shows how to perform expected credit loss (ECL) computations with

`portfolioECL`

using 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 Loss Given Default Models**Loss given default (LGD) is the proportion of a credit that is lost in the event of default.