Traditional mean-variance efficient portfolios do not capture the potential wealth creation opportunities provided by predictability of asset returns. We propose a simple method for constructing optimally managed portfolios that exploits the possibility that asset returns are predictable. We...

We examine the daily activity and performance of a large panel of individual investors in Sweden's Premium Pension System. We find that active investors earn higher returns and risk-adjusted returns than inactive investors. A performance decomposition analysis reveals that most of the...

We investigate inattention on the part of pension plan participants using a novel dataset covering savings in Sweden's Premium Pension System, data that permit direct comparison of the investment behaviors of pension and retail mutual fund investors. Unlike retail mutual fund investors, pension...

We examine the portfolio choice of an investor with generalized disappointment-aversion preferences who faces log returns described by a normal-exponential model. We derive a three-fund separation strategy: the investor allocates wealth to a risk-free asset, a standard mean-variance efficient...

We examine the daily activity and performance of a large panel of individual investors in Sweden's Premium Pension System. We find that active investors earn significantly higher returns and risk-adjusted returns than inactive investors. A performance decomposition analysis reveals that most of...

We examine the daily activity and performance of a large panel of individual investors in Sweden's Premium Pension System in the period 2000 to 2010. We find that active investors outperform passive investors, and that there is a causal effect of fund changes on performance. Chosen funds...

We examine the daily activity and performance of a large panel of individual investors in Sweden's Premium Pension System. We find that active investors earn significantly higher returns and risk-adjusted returns than inactive investors. A performance decomposition analysis reveals that most of...