This paper studies market selection in an Arrow-Debreu economy with complete markets where agents learn over misspecified models. Under model misspecification, standard Bayesian learning loses its formal justification and biased learning processes may provide a selection advantage. However,...

Arguing that in the real world relatively optimistic inexperienced investors are prey for relatively pessimistic veteran traders, we formalize this intuitive conjecture as a proven proposition in a simple model. This agreement to disagree leads to a perpetual bubble, in which more experienced,...

The paper shows how the standard two-period CAPM with exogenous wealth and exogenous returns can be extended inter-temporally by including the evolution of wealth from the Evolutionary Finance model of Evstigneev, Hens and Schenk-Hoppe (2011). The missing link between the two models is given by...

This paper proposes an operationally simple and easily generalizable methodology to incorporate climate change damage uncertainty into Integrated Assessment Models (IAMs). Uncertainty is transformed into a risk-premium, damage-correction, region-specific factor by extracting damage distribution...

We investigate the emergence of momentum and reversal anomalies in a general equilibrium model with complete markets and cognitively biased agents, accounting for the presence of representativeness heuristic, conservatism, and anchoring and adjusting in their beliefs. We characterize anomalies...

This paper proposes a procedure to investigate the nature and persistence of the forces governing the yield curve and to use the extracted information for forecasting purposes. The latent factors of a model of the Nelson-Siegel type are directly linked to the maturity of the yields through the...

We study an optimal robust monetary policy for a small open economy. The robust control approach assumes that economic agents cannot assign probabilities to a set of plausible models and rather focuses on the worst possible misspecification from a benchmark model. Our findings suggest that,...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...

Behavioral economics characterizes decision-makers using psychologically-informed models. Cognitive science produces psychologically-informed models. Why don't these disciplines talk more? Here, the author presents several arguments for why cognitive science should inform behavioral economics -...