Journal of Risk

Risk.net

The efficiency of the Anderson–Darling test with a limited sample size: an application to backtesting counterparty credit risk internal models

Matteo Formenti, Luca Spadafora, Marcello Terraneo and Fabio Ramponi

  • This work presents a theoretical and empirical evaluation of the Anderson–Darling
    test when the sample size is limited.
  • We show the limits of the test when backtesting the distributions of an interest rate model over long time horizons.
  • We propose a modified version of it that can more efficiently detect the underestimation of a model’s volatility

This work presents a theoretical and empirical evaluation of the Anderson–Darling test when the sample size is limited. The test can be used to backtest risk factor dynamics in the context of counterparty credit risk modeling. We show the limits of the test when backtesting the distributions of an interest rate model over long time horizons, and we propose a modified version of it that can more efficiently detect the underestimation of a model’s volatility. Finally, we provide an empirical application.

To continue reading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: