Model Risk in Preference-Learning Robo-Advisors
Robo-advisors now manage roughly $2 trillion in assets globally, and the quality of their investment advice rests on correctly learning each client’s risk preferences. The authors provide the first comprehensive risk management framework for algorithmic preference learning. Using a nonparametric utility reconstruction...