Robo-advisors of young enterprises vs. robo-advisors of established investment companies: evidence from well-known robo-advisors
摘要
In this study, we examine the performance difference between robo-advisors of young enterprises and those from established investment firms. We find that robo-advisors from young enterprises underperform compared to their counterparts from established firms, whether using raw returns or risk-adjusted returns as performance measures. The superior performance of established firms’ robo-advisors may be explained by the synergy between machines and experienced asset managers. However, during the COVID-19 crisis, robo-advisors of young enterprises outperformed, which could be explained by their flexibility, adaptability, and innovative capabilities. These findings provide new insights into the dynamics of robo-advisory services and their implications for investors and the financial industry. Our empirical analysis focuses exclusively on companies operating in the United States; therefore, the conclusions should be interpreted within the U.S. institutional and regulatory context.