We introduce a novel method for measuring economic uncertainty at the firm, sector, and aggregate levels using sales volatility and validate it by comparison with existing macroeconomic uncertainty measures. We use Compustat firms data in the period 2000-2022 to construct our uncertainty...

This Article suggests a link between insider trading regulation and macroeconomic risk. Current securities laws do not explicitly prohibit a company insider from trading in the stocks of her company’s suppliers, customers, competitors, and complementors (based on material, non-public...

Supply chain disturbances can lead to substantial increases in production costs. To mitigate these risks, firms may take steps to reduce their reliance on volatile suppliers. We construct a model of endogenous network formation to investigate how these decisions affect the structure of the...

We construct novel proxies of physical and transition climate risks by conducting textual analysis of climate-change news over the period 2000-2018. This analysis uncovers four textual variables related to the topics of U.S. climate policy, international summits, natural disasters, and global...

I investigate whether the popular Krusell and Smith algorithm used to solve heterogeneousagent economies with aggregate uncertainty and incomplete markets is likely to be subject to multiple self-fulfilling equilibria. In a benchmark economy, the parameters representing the equilibrium aggregate...

I consider a real business cycle model in which agents have private information about an idiosyncratic shock to their value of leisure. I consider the mechanism design problem for this economy and describe a computational method to solve it. This is an important contribution of the paper since...

In this paper we use the property that certainty equivalence, as implied by a first-order approximation to the solution of stochastic discrete-time models, breaks in its equivalent continuous-time version. We study the extent to which a first-order approximated solution built by perturbation...

In this paper we use the property that certainty equivalence, as implied by a first-order approximation to the solution of stochastic discrete-time models, breaks in its equivalent continuous-time version. We study the extent to which a first-order approximated solution built by perturbation...

Uncertainty shocks are also risk premium shocks. With countercyclical risk aversion (RA), a positive shock to uncertainty increases risk and elevates RA as consumption growth falls. The combination of high RA and high uncertainty produces significant risk premia in bad times, which in turn...

I consider a real business cycle model in which agents have private information about an idiosyncratic shock to their value of leisure. I consider the mechanism design problem for this economy and describe a computational method to solve it. This is an important contribution of the paper since...