We establish a class of fully nonlinear conditional expectations. Similarly to the usage of linear expectations when a probabilistic description of uncertainty is present, we observe analogue quantitative and qualitative properties. The type of nonlinearity captures the agents sentiments of...

We review some of the (theoretical) economic implications of David Schmeidler's models of decision under uncertainty (Choquet expected utility and maxmin expected utility) in competitive market settings. We start with the portfolio inertia result of Dow and Werlang (1992), show how it does or...

We propose a heuristic switching model of an asset market where the agents' choice of heuristic is consistent with their individual risk aversion. They choose between a fundamentalist and a trend-following rule to form expectations about the price of a risky asset. Given their risk aversion,...

We estimate the elasticity of intertemporal substitution (EIS) - the elasticity of expected consumption growth with respect to variation in the real interest rate - using subjective expectations from the newly released FRBNY Survey of Consumer Expectations (SCE). This dataset is unique, since it...

This exercise offers an innovative learning mechanism to model economic agent's decision-making process using a deep reinforcement learning algorithm. In particular, this AI agent is born in an economic environment with no information on the underlying economic structure and its own preference....

Agents have foresight when they receive information about a random process above and beyond the information contained in its current and past history. In this paper, we propose an information-theoretic measure of the quantity of foresight in an information structure, and show how to separate...

A theory in which the timing of consumer expectation adjustments is endogenously state-dependent and stochastic is proposed. These expectation adjustments generate highly heterogenous consumption responses to income windfalls: many households do not respond, those who do over-react, the marginal...