Examining voter learning in the 2006 US midterm elections, this study explores the relationships among motivation, media exposure, attention, elaboration, and knowledge gain in an expanded cognitive mediation model. The model characterizes voter learning from the news as a process driven by...

We propose a novel class of models in which the crash hazard rate is determined by a function of a non-local estimation of mispricing. Rooted in behavioral finance, the non-local estimation embodies in particular the characteristic of "anchoring" on past price levels and the "probability...

This paper presents an event study analysis of the market value impact of operational risk events on non-announcing firms in the U.S. banking and insurance industries. We seek evidence of positive or negative intra or inter-sector spillover effects on stock prices in the commercial banking,...

Document (text) classification is a common method in e-business, facilitating users in the tasks such as document collection, analysis, categorization and storage. Semantic analysis can help to improve the performance of document classification. Though having been considered when designing...