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Network models to improve robot advisory portfolios
Giudici, Paolo; Polinesi, Gloria; Spelta, Alessandro - In: Risk management decisions and value under uncertainty, (pp. 965-989). 2022
Persistent link: https://www.econbiz.de/10013342079
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Robo-Advising
D'Acunto, Francesco - 2020
In this chapter, we first discuss the limitations of traditional financial advice, which led to the emergence of robo-advising. We then describe the main features of robo-advising and propose a taxonomy of robo-advisors based on four defining dimensions---personalization, discretion,...
Persistent link: https://www.econbiz.de/10012836714
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Network Models to Improve Robot Advisory Portfolio Asset Allocation
Giudici, Paolo - 2020
Robot advisory services are rapidly expanding, responding to a growing interest people have in directly managing their … savings. Robot advisors may reduce costs and improve the quality of the service, making user involvement more transparent … mismatch between investors' expected and actual risk. The aim of the paper is to enhance robot advisory portfolio allocation …
Persistent link: https://www.econbiz.de/10012839259
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Robo-Advising
D'Acunto, Francesco - 2020
In this chapter, we first discuss the limitations of traditional financial advice, which led to the emergence of robo-advising. We then describe the main features of robo-advising and propose a taxonomy of robo-advisors based on four defining dimensions: personalization, discretion, involvement,...
Persistent link: https://www.econbiz.de/10012840565
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On the Viability of Robo-Advising for Individual Investors
Lee, Yongjae - 2015
The development of robo-advising allows investors to receive advice on investments that were considered too small by traditional human advisers. In this paper, the viability of robo-advising for individual investors is discussed by investigating one of the basic strategies of portfolio...
Persistent link: https://www.econbiz.de/10013013210
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The Promises and Pitfalls of Robo-Advising
D'Acunto, Francesco - 2018
We study a robo-advising portfolio optimizer that constructs tailored strategies based on in- vestors' holdings and preferences. Adopters are similar to non-adopters in terms of demographics, but have more assets under management, trade more, and have higher risk-adjusted performance. The...
Persistent link: https://www.econbiz.de/10012921212
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The Promises and Pitfalls of Robo-Advising
D'Acunto, Francesco - 2018
We study a robo-advising portfolio optimizer that constructs tailored strategies based on investors' holdings and preferences. Adopters are similar to non-adopters in terms of demographics, but have more assets under management, trade more, and have higher risk-adjusted performance. The...
Persistent link: https://www.econbiz.de/10012927697
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Do robo-advisors make us better investors?
Back, Camila; Morana, Stefan; Spann, Martin - 2021
with cognitive dissonance theory, which predicts that assigning responsibility to the advisor helps investors resolve a …
Persistent link: https://www.econbiz.de/10012500401
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Portfoliomanagement durch Robo-Advisory? : eine ökonomische Analyse aus Sicht unterschiedlicher Anlegertypen
Krüger, Clemens - In: Die Digitalisierung und die Digitale Transformation der …, (pp. 105-143). 2020
Persistent link: https://www.econbiz.de/10012269736
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The promises and pitfalls of robo-advising
D'Acunto, Francesco; Prabhala, Nagpurnanand R.; Rossi, … - In: The review of financial studies 32 (2019) 5, pp. 1983-2020
Persistent link: https://www.econbiz.de/10012033777