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Full-Text Articles in Business
Gender Differences In Self-Attribution And Overconfidence In Financial Decisions, Aine M. Ford
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 …
Analyst Teams, Bingxu Fang, Ole-Kristian Hope
Analyst Teams, Bingxu Fang, Ole-Kristian Hope
Research Collection School Of Accountancy
This paper examines the impact of teamwork on sell-side analysts’ performance. Using a hand-collected sample of over 50,000 analyst research reports, we find that analyst teams issue more than 70% of annual earnings forecasts. In contrast, most prior research implicitly assumes that forecasts are issued by individual analysts. We document that analyst teams generate more accurate earnings forecasts than individual analysts and that the stock market reacts more strongly to forecast revisions issued by teams. Analyst teams also cover more firms, issue earnings forecasts more frequently, and issue less stale forecasts. Analysts working in teams are more likely to be …
Digging Into Selection Criteria For Accelerator Acceptance: What Kind Of Owners Are More Attractive?, Veronika Ermilina, Matthew Farrell, Fatemeh Askarzadeh
Digging Into Selection Criteria For Accelerator Acceptance: What Kind Of Owners Are More Attractive?, Veronika Ermilina, Matthew Farrell, Fatemeh Askarzadeh
Management Faculty Publications
Drawing on signaling theory, we aid in the identification of the rarely acknowledged impact of business owner’s features on acceptance to accelerator programs. Using a multi-national sample of 10,298 observations for startups in 166 countries over 2016-2018, we show that accelerators do not evaluate applicants uniformly. We find that entrepreneurs from developing countries are less likely to be accepted by accelerators than entrepreneurs from developed economies. Counterintuitively, we also find an advantage for female entrepreneurs in accelerator acceptance. Further, our results suggest a positive impact of education. Accelerators are a growing provider of entrepreneurial resources and a main driver of …