Using textual analysis and comparing cybersecurity-risk disclosures of firms that were hacked to others that were not, we propose a novel firm-level measure of cybersecurity risk for all US-listed firms. We then examine whether cybersecurity risk is priced in the cross-section of stock returns....

During the COVID-19 market crash, U.S. stocks with higher institutional ownership -- in particular, those held more by active, short-term, and more exposed institutions -- performed worse. Portfolio changes through the first quarter of 2020 reveal that institutional investors prioritized...

On October 26, 2008, Porsche announced a largely unexpected domination plan for Volkswagen. The resulting short squeeze in Volkswagen's stock briefly made it the most valuable listed company in the world. We argue that this was a manipulation designed to save Porsche from insolvency and the...

We revisit the apparent historical success of technical trading rules on daily prices of the DJIA index from 1897 to 2011, and use the False Discovery Rate as a new approach to data snooping. The advantage of the FDR over existing methods is that it selects more outperforming rules which allows...

We introduce a simulation method for dynamic portfolio valuation and risk management building on machine learning with kernels. We learn the dynamic value process of a portfolio from a finite sample of its cumulative cash flow. The learned value process is given in closed form thanks to a...

Ambiguity aversion in dynamic models is motivated by the presence of unknown time-varying features, which agents do not understand and cannot theorize about. We analyze the consequences of this assumption for economic agents and model builders, who typically need to estimate a model, e.g., to...

We develop theory of a novel fast bootstrap for dependent data. Our scheme deploys i.i.d. resampling of smoothed moment indicators. We characterize the class of parametric and semiparametric estimation problems for which the method is valid. We show the asymptotic re refinements of the new...

The paper proposes a novel direction to rationalize and quantify investors' flipping behavior and its effect on underpricing in IPOs through the use of a structural approach mode. The outcome is a proxy value that replicates investors' flipping behavior. When tested empirically, the model...

We examine the effects of mandatory ESG disclosure around the world using a novel dataset. Mandatory ESG disclosure increases the availability and quality of ESG reporting, especially among firms with low ESG performance. Mandatory ESG reporting has in turn beneficial effects on firm’s...

We examine the nature of information contained in insider trades prior to corporate events. Insiders' net buying increases before open market share repurchase announcements and decreases before seasoned equity offers. Higher insider net buying is associated with better post-event operating...