Contrary to conventional wisdom in nance, return prediction R2 and optimal portfolio Sharpe ratio generally increase with model parameterization, even when minimal regularization is used. We theoretically characterize the behavior of return prediction models in the high complexity regime, i.e....

We propose a new asset-pricing framework in which all securities' signals are used to predict each individual return. While the literature focuses on each security's own- signal predictability, assuming an equal strength across securities, our framework is flexible and includes...

Institutional investors in equities tend to follow well-defined investment strategies, often based on factors such as size, value, momentum, quality, dividend yield and other stock characteristics. This paper explores the impact of capital flows between investment strategies on the cross-section...

We explore the role of public subsidies in mitigating the transition risk associated with a climate-neutral objective by 2060. We develop and estimate an environmental dynamic stochastic general equilibrium model for the world economy featuring an endogenous market structure for green products....

We propose a novel way of measuring the equity portfolio-level environmental and social characteristics of a 13F institution (the “sustainability footprint”) and examine the relation between sustainability footprints and risk-adjusted investment performance. The analysis shows that 13F...

The ongoing SARS-CoV-2 pandemic is stressing the world population, health care system and economies at a level not experienced since WWII or the last “Spanish flu” pandemic of 1918. This shock provides a real-life test of the resilience of human societies, challenging our understanding and...

We present results on the mortality statistics of the COVID-19 epidemic in a number of countries. Our data analysis suggests classifying countries in five groups, 1) Western countries, 2) East Block , 3) developed South East Asian countries, 4) Northern Hemisphere developing countries and 5)...

We propose a technique to avoid spurious detections of jumps in high-frequency data via an explicit thresholding on available test statistics. We prove that it eliminates asymptotically all spurious detections. Monte Carlo results show that it performs also well in finite samples. In Dow Jones...

This paper shows that the VIX market contains information on the variance of the S&P 500 returns, which is not already spanned by the S&P 500 market. We estimate a flexible affine model based on a joint time series of underlying indexes and option prices on both markets. We find that including...

This paper analyzes brief episodes of high-intensity quotes turnover and revision-"bursts" in quotes-in the U.S. equity market. Such events occur very frequently, several hundred times a day for actively traded stocks. We find significant price impact associated with these market makers...