The ability to make predictions based on online searches in various contexts is gaining substantial interest in both research and practice. This study investigates a novel application of correlated online searches in predicting stock performance across supply chain partners. If two firms are...

There is an increasing attention in IS to be able to predict outcomes using search frequency on popular portals. This growing literature focuses on revealing demand patterns of individual assets (e.g., products, stocks, services). However, users typically search many different assets together...

This paper examines the mediating role of analyst recommendations in the effect of annual IT investment on annual abnormal stock returns. While the influence of IT on stock market value has been studied in prior literature, there is a need to better understand how stock market investors come to...

This paper shows that the presence of security lending supply before an initial public offering (IPO) reduces the initial stock return following IPO and improves subsequent long-run performance. We use a sample of British firms that go public via a two-stage IPO procedure where a firm becomes...

This study investigates whether retail and institutional investors concentrate their trading among certain stock categories (i.e., habitats) and whether their trading activities generate return comovements among stocks within those habitats. Our results indicate that both retail and...

Although macroeconomic news has a major impact on corporate earnings, anecdotal evidence suggests that financial analyst research is inefficient with respect to such news. Examining analysts' earnings research, we find that they underreact to negative macroeconomic news. Analysts are not all...