We experimentally investigate how price expectations are formed in a large asset market where subjects' only task is to forecast the future price of a risky asset. The realized prices depend on these expectations. We observe small (6 participants) and large markets (about 100 participants). In...

In this paper, we develop a dynamic monopoly pricing model as a non-stationary Multi-armed bandit problem. At each time, the monopolist chooses a price in a finite set and each customer decides stochastically but independently to visit or not his store. Each customer is characterized by two...

There are many important decision problems where learning through experimentation is costly or impossible. In these situations, individuals may try to learn from observing the outcomes of others who have made similar decisions. Often, however, information about others comprises a selected...

We develop a model in which an overconfident agent learns about groups in society from observations of his and others' successes. In our model, both the agent's information and his beliefs are multi-dimensional, allowing us to study interactions between different views. Overall, society always...

We introduce a reinforcement learning framework for retail robo-advising. The robo-advisor does not know the investor's risk preference, but learns it over time by observing her portfolio choices in different market environments. We develop an exploration-exploitation algorithm which trades off...

A common criticism of behavioral economics is that it has not shown that the psychological biases of individual investors lead to aggregate long-run effects on both asset prices and macroeconomic quantities. Our objective is to address this criticism by providing a simple example of a production...

The behavioural finance literature attributes the persistent market misvaluation observed in real data to the presence of deviations from rational thinking of the actors involved. Cognitive biases and the use of simple heuristics can be described using expected utility maximising agents that...