We run a laboratory experiment that contributes to the finance literature on "return chasing behavior" studying how investors switch between mutual funds driven by past performance of the funds. The subjects in this experiment make discrete choices between several (2, 3 or 4) experimental funds...

We study the effects of the investment horizon on asset price volatility using a Learning to Forecast experiment. We end that, for short investment horizons, participants coordinate on self-fulfilling trend extrapolating predictions. Price deviations are then reinforced and amplified, possibly...

We study a model in which individual agents use simple linear first order price forecasting rules, adapting them to the complex evolving market environment with a smart Genetic Algorithm optimization procedure. The novelties are: (1) a parsimonious experimental foundation of individual...

We present an experiment that investigates the effect of the fee structure and past returns on mutual fund choice. We find that subjects pay too little attention to the (periodic and small) operation expenses fee, but the more salient front-end load is used as a commitment device and leads to...