This paper provides an empirical analysis of the risk of trading revenues of U.S. commercial banks. We collect quarterly data on trading revenues, broken down by business line, as well as the Value at Risk-based market risk charge. The overall picture from these preliminary results is that there...

This paper examines how governance and risk management affect risk-taking in banks. It distinguishes between good risks, which are risks that have an ex ante private reward for the bank on a stand-alone basis, and bad risks, which do not have such a reward. A well-governed bank takes the amount...

Current practice largely follows restrictive approaches to market risk measurement, such as historical simulation or RiskMetrics. In contrast, we propose flexible methods that exploit recent developments in financial econometrics and are likely to produce more accurate risk assessments, treating...

We propose a new methodology to build portfolios that hedge the economic and financial risks from climate change. Our quantity-based approach exploits information on how mutual fund managers trade in response to idiosyncratic changes in their climate risk beliefs. We exploit two types of...

This paper assesses the current state of knowledge about crisis risk and its implications for risk management. Better data that became available since the Global Financial Crisis (GFC) has improved our understanding of crisis risk. These data have been used to show that some types of crises...

Existing evidence shows convincingly that expected cash flows of non-financial firms can be negatively affected by their total risk, so that non-financial firms can create shareholder wealth by managing their total risk. After reviewing theories that demonstrate links between firm value and...

We study the impact of remote work on the commercial office sector. We document large shifts in lease revenues, office occupancy, lease renewal rates, lease durations, and market rents as firms shifted to remote work in the wake of the Covid-19 pandemic. We show that the pandemic has had large...

Is shareholder interest in corporate social responsibility driven by pecuniary motives (abnormal rates of return) or non-pecuniary ones (willingness to sacrifice returns to address various firm externalities)? To answer this question, we categorize the literature into seven tests: (1) costs of...

We survey the nascent literature on machine learning in the study of financial markets. We highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...