Genetic algorithm applied on the performance appraisal system of mutual fund managers in Taiwan

This research studies the performance appraisal system of mutual fund managers in Taiwan. 147 mutual fund managers were investigated in examining the performance appraisal system of mutual fund managers. This article describes using a Genetic Algorithm to evaluate the optimal performance in appraising mutual fund managers in the asymmetric information market in Taiwan. The optimum performance using this method of evaluation can be used to promote the performance of mutual fund managers. It also could enhance the developing of fund markets. From the research, the four most important results concluded are as follows: fund managers prefer to be evaluated annually, the optimal reward timing is quarterly, performance reward is the best way to encourage employees, and the career life for mutual fund managers is from 5 to 10 years.