Predictors Of Performance In An Online Financial Management Simulation

Abstract

The purpose of our research is to investigate the factors that impact performance in a financial management simulation component of a second financial management class. We measured the impact of previous course performance, gender, age and other concurrent course components on the dependent variable. Using two different statistical techniques, we found that a students current scores on exams, case write-ups and written summary reports were the strongest predictors of performance in the online simulation. The predictive ability of this variable was complemented by the positive impact of a students age. All else equal, the higher the age, the better the performance as measured by the simulated firms stock price. These results are encouraging and we will continue this experiential process during future semesters to add additional students to our sample size to further investigate the relationship between performance in the simulation and student characteristics.

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