We study the dynamics of a Lucas-tree model with finitely lived individuals who "learn from experience." Individuals update expectations by Bayesian learning based on observations from their own lifetimes. In this model, the stock price exhibits stochastic fluctuations around the rational...

We structurally estimate a model in which agents' information processing biases can cause predictability in firms' asset returns and investment inefficiencies. We generalize the neoclassical investment model by allowing for two biases -- overconfidence and over-extrapolation of trends -- that...

We propose a two-country model with heterogeneous beliefs to understand the forward premium puzzle. Facing a shock to the domestic money supply, the disagreement between domestic and foreign investors shifts the relative wealth of investors, which moves the exchange rate and interest rate...

We investigate how individual equity prices react to stock specific expected jump components. We find that a portfolio buying stocks with negative expected jump component and selling stocks with positive expected jump component earns significant returns, equal to 51 basis points per month.The...

We investigate the determinants of the commodity (ex-ante) risk premia for different maturities through the lens of a model of adaptive learning in which expected future spot prices are revised based on past prediction errors and changes in economic fundamentals. The main results show that risk...

We propose a novel reinforcement learning approach to extract high-frequency aggregate growth expectations from asset prices. While much expectations-based research in macroeconomics and finance relies on low-frequency surveys, the multitude of events that pass between survey dates renders...

In a model where investors disagree about the fundamentals of two stocks, the state price density depends on investor disagreements for both stocks, especially the larger stock. This implies that disagreement among investors in a large firm has a spillover effect on the pricing of other stocks...

An affine no-arbitrage asset pricing framework is developed that allows for agents to have rational but heterogeneous expectations. The framework can match both bond yields and the observed dispersion of yield expectations in survey data. heterogeneous information introduces a speculative...

In this paper I show that the difficulty in estimating unconditional means from time series data alone is the cause for the lack of robustness in empirical estimates of the workhorse model in macro-finance. Using US and UK yield curve data and an extensive Monte Carlo study I show that using...