When do stop-loss rules stop losses?

Abstract

We propose a simple analytical framework to measure the value added or subtracted by stop-loss rules-predetermined policies that reduce a portfolio's exposure after reaching a certain threshold of cumulative losses-on the expected return and volatility of an arbitrary portfolio strategy. Using daily futures price data, we provide an empirical analysis of stop-loss policies applied to a buy-and-hold strategy using index futures contracts. At longer sampling frequencies, certain stop-loss policies can increase expected return while substantially reducing volatility, consistent with their objectives in practical applications. Keywords: Investments; Portfolio management; Risk management; Asset allocation; Performance attribution; Behavioral finance