Simulating Security Returns ― A Filtered Historical Simulation Approach

Practitioners in risk management are familiar with the use of the FHS (filtered historical simulation) to finding realistic simulations of security returns. This approach has become increasingly popular over the last fifteen years, as it is both flexible and reliable, and is now being accepted in the academic community.

Simulating Security Returns is a useful guide for researchers, students, and practitioners. It uses the FHS approach to help simulate the returns of large portfolios of securities. While other simulation methods use the covariance matrix of security returns, which suffers the curse of dimensionality even for modest portfolios, Barone Adesi demonstrates how FHS can accurately adjust to current market conditions.

Giovanni Barone Adesi is Professor of Finance at the University of Italian Switzerland, where he holds a Senior Chair of the Swiss Finance Institute. He is the author of several well-known models for the valuation and the management of financial derivatives.