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2020 | OriginalPaper | Chapter

What Do Robo-Advisors Recommend? - An Analysis of Portfolio Structure, Performance and Risk

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Abstract

Robo-Advisors guide investors through an automated investment advisory process, recommend personalized portfolio assignments based on their individual risk-affinity as well as investment goals and rebalance the portfolio automatically over time. Giving basic investment advice to customers, it can provide a useful way to reduce risk by diversifying and mitigating biases, while keeping a certain degree of performance at low costs. To verify these claims we conduct a sophisticated analysis of recommended portfolios of 36 Robo-Advisors, based on six distinct model customers with different risk-affinities and investment horizons, resulting in 216 recommended portfolios. We find that the analyzed Robo-Advisors provide distinct recommended portfolios for the different risk/investment horizon combinations, while sharing similarities in used products for portfolio allocation. We also find issues within the recommended portfolios, e.g. a low degree of distinctiveness between different investment horizons and a high amount of equities even in the short-term investment horizon.

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Appendix
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Metadata
Title
What Do Robo-Advisors Recommend? - An Analysis of Portfolio Structure, Performance and Risk
Authors
Albert Torno
Sören Schildmann
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-64466-6_6

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