Tail Risk Targeting: Target VaR and CVaR Strategies

108 Pages Posted: 5 Sep 2019 Last revised: 25 Sep 2019

See all articles by Lars Rickenberg

Lars Rickenberg

University of Mannheim - Department of Risk Theory, Portfolio Management and Insurance

Date Written: August 29, 2019

Abstract

We present dynamic trading strategies that target a predefined level of risk measured by volatility, Value-at-Risk (VaR) or Conditional-Value-at-Risk (CVaR). Recent studies have shown that volatility targeting increases the risk-adjusted performance and heightens utility gains for mean-variance investors. We find that downside risk targeting outperforms volatility targeting in terms of a higher Sharpe Ratio, better drawdown protection and higher utility gains for mean-variance, CRRA and loss-averse investors. In particular, a loss-averse investor is not willing to pay a positive fee to switch from a static portfolio to a volatility managed strategy, whereas this investor would pay a fee of 18% per year to have access to the downside risk managed strategy. We also find that the performance of risk targeting can further be enhanced by switching between volatility and CVaR targeting based on estimates of whether the market will be in a bull or bear regime.

Keywords: Volatility, Value at Risk, Conditional Value at Risk, Risk Targeting, Extreme Value Theory, Dynamic Trading Strategies

JEL Classification: C53, G11, G17

Suggested Citation

Rickenberg, Lars, Tail Risk Targeting: Target VaR and CVaR Strategies (August 29, 2019). Available at SSRN: https://ssrn.com/abstract=3444999 or http://dx.doi.org/10.2139/ssrn.3444999

Lars Rickenberg (Contact Author)

University of Mannheim - Department of Risk Theory, Portfolio Management and Insurance ( email )

Schloss
Mannheim, 68131
Germany

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