The core statistical technology in artificial intelligence is the large-scale transformer network. We propose a new asset pricing model that implants a transformer in the stochastic discount factor. This structure leverages conditional pricing information via cross-asset information sharing and...

Recent research documents that aggregate stock prices are driven by shocks with persistence levels ranging from daily intervals to several decades. Building on these insights, we introduce a parsimonious equilibrium model in which regime-shifts of heterogeneous durations affect the volatility of...

Motivated by psychological evidence that attention is a scarce cognitive resource, we model investors' attention allocation in learning and study the effects of this on asset-price dynamics. We show that limited investor attention leads to ``category-learning" behavior, i.e., investors tend to...

We analyze the impact of time series dependence in market microstructure noise on the properties of estimators of the integrated volatility of an asset price based on data sampled at frequencies high enough for that noise to be a dominant consideration. We show that combining two time scales for...

I construct a neoclassical, Q-theoretical foundation for time-varying expected returns in connection with corporate policies and events. Under certain conditions, stock return equals investment return, which is directly tied with firm characteristics. This single equation is shown analytically...

The allowance for low-probability disasters, suggested by Rietz (1988), explains a lot of puzzles related to asset returns and consumption. These puzzles include the high equity premium, the low risk-free rate, the volatility of stock returns, and the low values of typical macro-econometric...

In a model with housing collateral, a decrease in house prices reduces the collateral value of housing, increases household exposure to idiosyncratic risk, and increases the conditional market price of risk. This collateral mechanism can quantitatively replicate the conditional and the...

This paper shows that the quantitative predictions of an equilibrium asset pricing model with financial frictions are consistent with the large consumption and current-account reversals and asset-price collapses observed in the "Sudden Stops" of emerging markets crises. Margin requirements set a...

This paper solves explicitly an equilibrium asset pricing model with liquidity risk -- the risk arising from unpredictable changes in liquidity over time. In our liquidity-adjusted capital asset pricing model, a security's required return depends on its expected liquidity as well as on the...

The hypothesis that Sudden Stops to capital inflows in emerging economies may be caused by global capital market frictions, such as collateral constraints and trading costs, suggests that Sudden Stops could be prevented by offering price guarantees on the emerging-markets asset class. Providing...