Economics and management science share the tradition of ordering risk aversionby fitting the best expected utility (EU) model with a certain utility function to in-dividual data, and then using the utility curvature for each individual as the soleindex of risk attitude. (Cumulative) Prospect...

We present an experiment designed to test the Modigliani-Miller theorem. Applyinga general equilibrium approach and not allowing for arbitrage among firmswith different capital structures, we find that, in accordance with the theorem, participantswell recognize changes in the systematic risk of...

In the framework of expected utility theory, risk attitudes are entirely capturedby the curvature of the utility function. In cumulative prospect theory (CPT) riskattitudes have an additional dimension: the weighting of probabilities. With thismodication, one question arises naturally: since...

In this paper, we experimentally test the Modigliani-Miller theorem. Applying ageneral equilibrium approach and not allowing for arbitrage among ¯rms with differ-ent capital structure, we are able to address a question fundamental to the valuationof firms: does capital structure affect the...

In this paper we experimentally test skewness seeking at the individuallevel. Several prospects that can be ordered with respect to the third-degreestochastic dominance (3SD) criterion are ranked by the participants of theexperiment. We find that the skewness of a distribution has a...

Parimutuel betting markets are simplified financial markets, andcan thus provide a clearer view of pricing issues which are more complicatedelsewhere. Though empirical studies generally conclude thatthe parimutuel betting markets are surprisingly efficient, it is alsofound that for horses with...

In a stochastic duopoly market, sellers must form state-specific aspirationsexpressing how much they want to earn given their expectationsabout the other's behavior. We define individually and mutually satisficingsales behavior for given individual beliefs and aspiration profiles. In afirst...