Automatisches Investment – Anlageempfehlung vom Robo Advisor

Entscheidungen werden heute kaum noch ohne Online-Unterstützung getroffen. Warum also nicht auch die Wahl der Vermögensanlage dem Internet überlassen? Robo Advisors versprechen effiziente, rationale und transparente Anlageempfehlungen und entwickeln sich zur digitalen Beratungsalternative. Zu ihren Empfehlungen gelangen sie auf höchst unterschiedliche Weise.

Lesen Sie meinen Artikel weiter auf der Seite Der Bank Blog →

To Advise, or Not to Advise — How Robo-Advisors Evaluate the Risk Preferences of Private Investors

In a joint work with Michael Tertilt, an HSBA alumnus of MBA Corporate Management, we analyze the current quality of robo-advice.

Abstract

Robo-advisors promise efficient, rational, and transparent investment advisory. We analyze how robo-advisors ascertain their user’s risk tolerance and which equity exposure is derived from the individual risk profile. Our findings indicate significant differences in the quality of offered investment advice. On average, robo-advisors ask relatively few questions in their user’s risk profile assessment, and it is particularly surprising that some of the questions seem not to have any impact on the risk categorization. Moreover, the recommended equity exposure is relatively conservative.

Citation

Michael Tertilt & Peter Scholz (2017): To Advise, or Not to Advise — How Robo-Advisors Evaluate the Risk Preferences of Private Investors. SSRN Working Paper.

World Finance Conference 2017: To Advise, or Not to Advise — How Robo-Advisors Evaluate the Risk Preferences of Private Investors

Photo by trolvag [CC BY-SA 3.0], via Wikimedia Commons

From July 26th until 28th, the World Finance Conference will take place at Cagliari University in Sardinia, Italy. I am invited to present the findings of a joint work with Michael Tertilt, an alumnus of HSBA’s MBA program. I am really looking forward to meet and greet!

Abstract

Robo-advisors promise efficient, rational, and transparent investment advisory. We analyze how robo-advisors ascertain their user’s risk tolerance and which equity exposure is derived from the individual risk profile. Our findings indicate significant differences in the quality of offered investment advice. On average, robo-advisors ask relatively few questions in their user’s risk profile assessment, and it is particularly surprising that some of the questions seem not to have any impact on the risk categorization. Moreover, the recommended equity exposure is relatively conservative.

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