Tail Risk Of Smart Beta Portfolios: An Extreme Value Theory Approach

This paper studies the in-sample extreme risk of smart beta portfolios using the GARCH-EVT model. To validate the in-sample approach, we back-tested the methodology on smart beta indices constructed from long-term US data spanning 40 years and found that the methodology is robust and reliable. The VaR- and CVaR-based tests for the case of 1% tail probability indicated that, with a couple of exceptions, the model is statistically acceptable for all portfolios for both the left and the right tail.