The authors argue that optimization with respect to tracking errors is
rooted in a framework where investors are averse to the pain of regre
t. Regret comes when decisions to deviate from the benchmark turn out
badly. Tactical asset allocation involves deviations from a benchmark
portfolio and therefore may lead to regret. The authors show how tacti
cal asset allocators can optimize allocations given the conflicting de
sires to maximize positive tracking errors and minimize regret.