A STOCHASTIC-DIFFERENCE-EQUATION MODEL FOR HEDGE-FUND RELATIVE RETURNS

We propose a stochastic difierence equation of the form Xn = AnXni1 + Bn to model the annual returns Xn of a hedge fund relative to other funds in the same strategy group in year n. We flt this model to data from the TASS database over the period 2000 to 2005. We let fAng and fBng be independent sequences of independent and identically distributed random variables, allowing general distributions, with An and Bn independent of Xni1, where E[Bn] = 0. This model is appealing because it can involve relatively few parameters, can be analyzed, and can be flt to the limited and somewhat unreliable data reasonably well. The key model parameters are the year-to-year persistence factor ∞ · E[An] and the noise variance ae 2 b · V ar(Bn). The model was chosen primarily to capture the observed persistence, which ranges from 0:11 to 0:49 across eleven difierent hedge-fund strategies, according to regression analysis. The constant-persistence normalnoise special case with An = ∞ and Bn (and thus Xn) normal provides a good flt for some strategies, but not for others, largely because in those other cases the observed relative-return distribution has a heavy tail. We show that the heavy-tail case can also be successfully modelled within the same general framework. The model is evaluated by comparing model predictions with observed values of (i) the relative-return distribution, (ii) the lag-1 auto-correlation and (iii) the hitting probabilities of high and low thresholds within the flve-year period.