Finance and Financial Management Commons^™

Gender Differences In Self-Attribution And Overconfidence In Financial Decisions, Aine M. Ford

Student Publications

Behavioral finance and the study into biases is a rapidly increasing area of interest for finance professionals and academics alike. Understanding the sources of overconfidence and the self-attribution bias from a gendered framework can provide insight for managers and industry leaders to insulate their firms from underperformance losses due to these biases. Education and relevant financial experience are key controllable variables that impact overconfidence and self- attribution. Using a survey sent to around 130 students and finance professionals, gender, education, and relevant experience were tested against overconfidence and self-attributional scores to determine if there were any meaningful relationships. The results …

Uri And Its Students: A Contract For The Provision Of A Safe Environment, Danielle Joan Beatrice

Senior Honors Projects

DANIELLE BEATRICE (English; Philosophy; Business) URI and Its Students: A Contract for the Provision of a Safe Environment

Sponsor: Judith Swift (Communication Studies, Coastal Institute)

When students begin to attend college, they expect to be consumed with busy schedules, heavy workloads, and an exciting social life. Students do not anticipate being in dangerous situations. However, this does not mean that such situations do not occur. Therefore, it is essential to teach students to be active participants in educating themselves and their peers regarding prevention and response to emergency situations. My Honors Project aims to increase the awareness of safety-related issues …

Financial News And Cds Spreads, Paresh Kumar Narayan, Deepa Bannigidadmath

Research outputs 2014 to 2021

© 2020 Elsevier B.V. This paper examines whether financial news moves CDS spreads for a large number of U.S. stocks sorted into 19 panels consisting of sectors, sizes and credit quality. Using a unique financial news data set, we discover that while both positive and negative news predicts CDS spread changes in most of the panels, annualised mean–variance profits and utility gains are dominated by forecasting models that use positive news as a predictor. At best, risk factors only account for around 31% of observed profits.