Articles by Academic Research Authors:
Aguilar, Chengan and Custovic dig into the concept of “tracking error” and find that current measures do a poor job of handling skewness and kurtosis. They propose a new approach to calculating tracking error – Quantile Tracking Errors (QuTE) – to address this weakness in traditional measures.
Hoffstein, Faber and Braun construct long-only indices that provide exposures to popular U.S. equity factors (value, size, momentum, quality, and low volatility) and vary their rebalance schedules to isolate the effects of “rebalance timing luck.”
Their results suggest substantial problems for analyzing any investment when the strategy, its peer group, or its benchmark is susceptible to performance impacts driven by the choice of rebalance schedule.