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They said that recommendations “were closer to totally random than totally consistent” and were, furthermore, dependent on advisors' personal characteristics such as income, marital status and education.
Though far from perfect, algorithms such as those used by robo-advisors, would not be subject to such biases and random influences, though they come with their own set of issues as shown in several studies by BETTER FINANCE (Robo-Advice 5.0.: Can Consumers Trust Robots?)
Read the full Funds Europe article here.