We derive two risk-adjusted performance measures for investors with risk av
erse preferences. Maximizing these measures is equivalent to maximizing the
expected utility of an investor. The first measure, X-eff, is derived assu
ming a constant risk aversion while the second measure, R-eff, is based on
a stronger risk aversion to clustering of losses than of gains. The cluster
ing of returns is captured through a multi-horizon framework. The empirical
properties of X-eff, R-eff are studied within the context of real-time tra
ding models for foreign exchange rates and their properties are compared to
those of more traditional measures like the annualized return, the Sharpe
Ratio and the maximum drawdown. Our measures are shown to be more robust ag
ainst clustering of losses and have the ability to fully characterize the d
ynamic behaviour of investment strategies. (C) 2001 Elsevier Science B.V. A
ll rights reserved.