Long-term strategic asset allocation: An out-of-sample evaluation
Management Science , Volume 61 - Issue 9 p. 2185- 2202
We evaluate the out-of-sample performance of a long-term investor who follows an optimized dynamic trading strategy. Although the dynamic strategy is able to benefit from predictability out-of-sample, a short-term investor using a single-period market timing strategy would have realized an almost identical performance. The value of intertemporal hedge demands in strategic asset allocation appears negligible. The result is caused by the estimation error in predicting the predictors. A myopic investor only needs to predict one-period-ahead expected returns, but hedge demands also require accurate predictions of the predictor variables. To reduce the problem of errors in optimized portfolio weights, we consider Bayesian procedures. Myopic and dynamic portfolios are similarly affected by such modifications, and differences in performance become even smaller.
|Finance, Out-of-sample analysis, Performance evaluation, Portfolio, Strategic asset allocation|
|ERIM Top-Core Articles|
|Organisation||Department of Econometrics|
Diris, B.F, Palm, F, & Schotman, P.C. (2015). Long-term strategic asset allocation: An out-of-sample evaluation. Management Science, 61(9), 2185–2202. doi:10.1287/mnsc.2014.1924