Tax administrations use machine learning to predict risk scores as a basis for selecting individual taxpayers for audit … compliance effects of audits among high-risk wage earners. We exploit a sharp audit assignment discontinuity in Norway based on … individual tax payers risk score. Additional data from a random audit allow us to estimate how the audit effect vary across the …

We explore the impact of mortgage securitization on the international diversification of macroeconomic risk. By making … risk sharing: we find that countries with the most highly developed markets for securitized mortgage debt have consumption … risk sharing in tranquil times but that it actually fails to provide international insurance in severe crisis periods …

We investigate the trade-off between the risk-sharing gains enjoyed by more interconnected firms and the costs … resulting from an increased risk exposure. We find that when the shock distribution displays "fat" tails, extreme segmentation …

degree of pessimism of the representative agent is the mean of the individual ones weighted by their index of absolute risk …

The risk of recurrent outbreaks following the main waves of a pandemic has been acknowledged. We provide evidence of … the scale and duration of this outbreak risk. We compile municipal public health records and use national data to model … eight major UK cities, we find elevated mortality risk that persists for nearly two decades. The generality of the findings …

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in … corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays … intuitive relations with quantitative measures of cybersecurity risk disclosure language, exhibits a positive trend over time …

approaches to incorporating climate risk in macro-finance models. We then review the empirical literature that explores the … risk. We conclude by proposing several promising directions for future research in climate finance. …

We measure the economic risk of COVID-19 at a geo-spatially detailed resolution. In addition to data about the current … prevalence of confirmed cases, we use data from 2014-2018 and a conceptual disaster risk model to compute measures for exposure ….e., its ability of the recover rapidly from the shock). We find that the economic risk of this pandemic is particularly high …

empirically show two main findings: first, risk-taking is positively related to the length of tax loss periods because the loss … rules shift some risk to the government; and second, the tax rate has a positive effect on risk-taking for firms that expect …