Estimating Portfolio Risk for Tail Risk Protection Strategies
48 Pages Posted: 5 Jun 2017 Last revised: 17 Aug 2019
Date Written: August 16, 2019
We forecast portfolio risk for managing dynamic tail risk protection strategies, based on extreme value theory, expectile regression, Copula-GARCH and dynamic GAS models. Utilizing a loss function that overcomes the lack of elicitability for Expected Shortfall, we propose a novel Expected Shortfall (and Value-at-Risk) forecast combination approach, which dominates simple and sophisticated standalone models as well as a simple average combination approach in modelling the tail of the portfolio return distribution. While the associated dynamic risk targeting or portfolio insurance strategies provide effective downside protection, the latter strategies suffer less from inferior risk forecasts given the defensive portfolio insurance mechanics.
Keywords: Tail Risk Protection, CPPI, DPPI, Risk Modelling, Value at Risk, Expected Shortfall, Return Synchronization
JEL Classification: C13, C14, C22, C53, G11
Suggested Citation: Suggested Citation