The author describes a classroom game demonstrating the process of adjustment to long-run equilibrium in a market consisting of price taking firms. This game unites and extends key insights from several simpler games in a framework more consistent with the standard textbook model of a...

Many tests of asset pricing models address only the pricing predictions - but these pricing predictions rest on portfolio choice predictions which seem obviously wrong. This paper suggests a new approach to asset pricing and portfolio choices, based on unobserved heterogeneity. This approach...

The Lucas (1978) Tree Model lies at the heart of modern macro-finance. At its core, it provides an analysis of the equilibrium price of a long-lived asset in an exchange economy where consumption is the objective, and the sole purpose of the asset is to smooth consumption through time....

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 test the hypothesis that retail investors' attraction to lottery stocks induces overvaluation, and is amplified by high attention and social interactions. The lottery premium (negative abnormal returns) is stronger for high-retail-ownership stocks—especially those that also have high...

We perform an asset market experiment in order to investigate whether overconfidence induces trading. We investigate three manifestations of overconfidence: calibration-based overconfidence, the better-than-average effect and illusion of control. Novelly, the measure employed for...

On financial markets, information is a highly demanded resource and processing it to (potentially) generate excess returns drives the activities of many market participants. Not surprisingly, this high relevance of information in markets culminates in a high research interest focusing on how...

Prices and investors' behavior are heavily influenced by risk aversion. As it is unobservable, estimating risk aversion has been challenging for a long time. This paper proposes using a Machine Learning approach (a combination of Autoencoder and Long-Short Term Memory) to estimate the...