Most socially responsible investment funds combine a sustainability objective with a tracking error constraint. We characterize the impact of a sustainability constraint on the mean-tracking error efficient frontier and illustrate this on a universe of US stocks for the period 2003–2010.

We use extreme value theory to analyse the tails of a momentum strategy’s return distribution. The asymmetry between the fat left tail and thin right tail strongly reduces a momentum strategy’s prospective utility levels.

We present a multi-trial experiment that extends the classic experiment of Thaler et al. (1997) by adding short-term information to long-term investment. The allocation to the risky asset is reduced in the long-term, when we add short-term information.