Risk aversion is as prevalent as it is expensive. For financial traders this is especially true. This paper proposes a solution for alleviating the behavior using a model implied from experiments on myopic loss aversion and tests the model on retail currency traders from a large online database....

It is shown how to test revealed preference data on choices under uncertainty for consistency with first and second order stochastic dominance (FSD or SSD). The axiom derived for SSD is a necessary and sufficient condition for risk aversion. If an investor is risk averse, stochastic dominance...

Loss aversion has been shown to be an important driver of people’s investment decisions. Encouraged by regulators, financial institutions are in search of ways to incorporate clients’ loss aversion in their risk classifications. The most critical obstacle appears to be the lack of a valid...

This paper analyzes gender differences in the disposition effect in an experiment based on Weber and Camerer (1998). The results emphasize that female investors realize less capital losses, have significantly higher disposition effects and are more loss averse than men

We experimentally test overconfidence in investment decisions by offering participants the possibility to substitute their own for alternative investment choices. Overall, 149 subjects participated in two experiments, one with just one risky asset, the other with two risky assets. Overconfidence...

We study portfolio diversification in an experimental decision task, where asset returns depend on a draw from an ambiguous urn. Holding other information identical and controlling for the level of ambiguity, we find that labeling assets as being familiar or from the homeland of subjects...

We study the asset allocation of an investor with prospect theory (PT) preferences. First, we solve analytically the two-asset problem of the PT investor for one risk-free and one risky asset and find that loss aversion and the reference return affect differently less ambitious investors and...

We conduct a controlled laboratory experiment in which subjects dynamically choose to allocate their portfolio between (i) a safe asset, (ii) a risky asset and (iii) a skewed asset with negative expected value (a bet ), in an environment where they can sometimes choose to acquire some...

A common approach to dealing with missing data is to estimate the model on the common subset of data, by necessity throwing away potentially useful data. We derive a new probit type estimator for models with missing covariate data where the dependent variable is binary. For the benchmark case of...