Portfolio sorting is ubiquitous in the empirical finance literature, where it has been widely used to identify pricing anomalies in different asset classes. Despite the popularity of portfolio sorting, little attention has been paid to the statistical properties of the procedure or to the...

Ratios that indicate the statistical significance of a fund’s alpha typically appraise its performance. A growing literature suggests that even in the absence of any ability to predict returns, holding options positions on the benchmark assets or trading frequently can significantly enhance...

Motivated by individuals' emotional response to risk at different time horizons, we model an 'anxious' agent - one who is more risk averse with respect to imminent risks than distant risks. Such preferences describe well-documented features of 1) individual behavior, 2) equilibrium prices, and...

In this paper, we seek to produce forecasts of commodity price movements that can systematically improve on naïve statistical benchmarks. We revisit how well changes in commodity currencies perform as potential efficient predictors of commodity prices, a view emphasized in the recent...

We propose a novel estimator for the dynamic panel model, which solves the failure of strict exogeneity by calculating the bias in the first-order conditions as a function of the autoregressive parameter and solving the resulting equation. We show that this estimator performs well as compared...

In addition to realized earnings and employment shocks, forward-looking individuals are presumed to condition their consumption and labor supply decisions on their subjective beliefs about future labor market risks. This paper analyzes these perceptions of earnings and employment risks using...

The 2010s saw a profound shift towards jumbo mortgage lending by large banks that are regulated under the Dodd-Frank Act. Using data from the Home Mortgage Disclosure Act, we show that the "jumbo shift" is correlated with being subject to the Comprehensive Capital Analysis and Review (CCAR)...

We propose a new, computationally-efficient way to approximate the "grouped fixed-effects" (GFE) estimator of Bonhomme and Manresa (2015), which estimates grouped patterns of unobserved heterogeneity. To do so, we generalize the fuzzy C-means objective to regression settings. As the...

Financial engineering offers the potential to significantly reduce the consumption fluctuations faced by individuals, households, and firms. Yet much of this potential remains unfulfilled. This paper studies the adoption of an innovative rainfall insurance product designed to compensate...

Loss aversion has been used to explain why a high equity premium might be consistent with plausible levels of risk aversion. The intuition is that the different utility impact of wealth gains and losses leads loss-averse investors to behave similarly to investors with high risk aversion. But if...