Abstract
Human investors are supposed to be rather emotional and prone to biases in their financial decision-making. By contrast, robots and algorithms have the reputation to be fully rational and therefore are very often considered as ideal investors. But since they are programmed by humans, the question arises how unbiased algorithms and robots really are. We analyze robo-advisors with respect to home bias, mental accounting, and overconfidence and find that the recommendation from robo-advice is not free from behavioral biases. After all, it seems that robo economicus is not as close to the model of Homo economicus as supposed.
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Notes
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Translation from German to English by dict.leo.org.
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Based on the assumption that the investment committee makes similar decisions in their ETF portfolio and the robo portfolio.
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Vanguard: “When recommending, setting, and adjusting your asset allocation, we weigh shortfall risk—the possibility that a financial plan or Portfolio will fail to meet longer-term financial goals—against market risk.” Schwab: “[W]e have dedicated an entire team of Charles Schwab Investment Advisory (CSIA) experienced analysts to continually use state-of-the-art research and evolve our approach to creating asset allocations designed to improve outcomes for individual investors.” Wealthfront: “Wealthfront combines the judgment of its investment team with state of the art optimization tools to identify efficient portfolios.”
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Vanguard Advisers, Inc. (2019, p.18): “When recommending, setting, and adjusting your asset allocation, we weigh shortfall risk—the possibility that a financial plan or Portfolio will fail to meet longer-term financial goals—against market risk.”
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Scholz, P., Grossmann, D., Goldberg, J. (2021). Robo Economicus? The Impact of Behavioral Biases on Robo-Advisory. In: Scholz, P. (eds) Robo-Advisory. Palgrave Studies in Financial Services Technology. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-40818-3_4
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