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Towards a Taxonomy of Robo-Advisors

Authors: Garvía Vega, Luis;

Towards a Taxonomy of Robo-Advisors

Abstract

This paper examines the basics of Robo-Advisors, attempts a definition, and lays the necessary groundwork for analyzing both, regulation and contractual relationship between robots-related participants and the attribution of liabilities among them. The objective of this study is to offer a taxonomy of the Robo-Advisory industry and, in order to achieve this aim, we will define a robo-advisor as the algorithm that can provide investment services to an investor. A robo-advisor will involve the participation of following roles, that could be played by the same or different actors: the programmer, the owner, the user and the investor. Considering the relations among these players we will do the taxonomy.

Este artículo analiza las características básicas de los robo-advisors. Se realiza una definición y se establecen las bases para estudiar su regulación y relación contractual entre los diferentes agentes. El objetivo es proporcionar una taxonomía, y para ello se define el concepto de robo-advisor como un algoritmo que puede proporcionar servicios de inversión a un inversor. Aparecen las siguientes figuras: el programador, el propietario, el usuario y el inversor.

info:eu-repo/semantics/publishedVersion

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green