Problems concerning dynamic learning and decision-making are difficult to solve, especially analytically. We study an infinite-horizon discrete-time model with a constant unknown state that has two possible values and strive to derive an analytical solution. As a special partially observable...

The U.S. Food and Drug Administration (FDA) regulates the approval and safe public use of pharmaceutical products in the United States. The FDA uses postmarket surveillance systems to monitor drugs already on the market; a drug found to be associated with an increased risk of adverse events...

We study how institutional investor attention to a firm affects the timeliness of analysts' forecasts for that firm. We measure abnormal institutional attention (AIA) using Bloomberg news search activity for the firm on earnings announcement days. We find that analysts issue more timely...

Optimal stopping is the problem of deciding when to stop a stochastic system to obtain the greatest reward, arising in numerous application areas such as finance, healthcare and marketing. State-of-theart methods for high-dimensional optimal stopping involve approximating the value function or...

In over-the-counter markets for assets such as bonds or securitizations, large volumes can be split into smaller pieces and gradually sold to several final investors with the intermediation of multiple dealers. This paper proposes a model to study this process, called “asset dissemination”....

Securitized mortgage appraisals routinely target pre-specified valuations, 45% of purchase loan appraisals exactly equal purchase prices, and appraisals virtually never fall below purchase prices. As a result, appraisals exceed automated valuation model (AVM) valuations 60% of the time and are...

We examine the relationship between data analytics capabilities and innovation using detailed firm-level data. To measure innovation, we first utilize a survey to capture two types of firm practices, process improvement and new technology development for 331 firms. We then use patent data to...

We exploit cross-sectional variation in the predictable changes in asset volatility following corporate acquisitions to identify the effect of business risk on capital structure. We find that post-merger changes in leverage and cash holdings are strongly predicted by expected asset volatility...

Representative online customer reviews are critical to the effective functioning of the Internet economy. In this study, I investigate the representativeness of online review distributions to examine how extremity bias and conformity impact it, and explore whether online review solicitations...

We show that following shocks that change an industry's competitive environment, firms with more short-term institutional investors experience smaller drops in sales and investment and have better long-term performance than similar firms affected by the shocks. To do so, these firms introduce...