This paper proposes an heterogenous asset pricing model in which different classes of investors coexist and evolve, switching among strategies over time according to a fitness measure. In the presence of boundedly rational agents, with biased forecasts and trend following rules, rational or...

This paper establishes an agent-based model to describe the dynamic behaviour of the financial market with mutual fund managers and investors under two types of compensation contracts: asset-based fees and performance-based fees, and using two types of adaptive expectation: trend chaser and...

In dynamic financial markets the stochastic supply of risky assets has a significant informational role. Contrary to static models, where it acts as “noise,” in dynamic markets stochastic supply contains information about risk premiums. Acquiring private dividend information helps investors...

This paper contributes to the debate whether central banks should respond to asset prices, credit spreads and other financial factors in setting monetary policy, by evaluating determinacy and expectational stability of equilibria under various monetary policy rules. With adaptive learning,...

The only plausible explanation for why capital markets trade so much so often is that they are pervaded by disagreement, aka heterogeneous beliefs. Heterogeneity fades away when risks are stable, as observed history eventually reveals what they are. However, in real-life capital markets, no past...

This experiment compares the price dynamics and bubble formation in an asset market with a price adjustment rule in three treatments where subjects (1) submit a price forecast only, (2) choose quantity to buy/sell and (3) perform both tasks. We find deviation of the market price from the...

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...