Towards designing robo-advisors for unexperienced investors with experience sampling of time-series data

Glaser, Florian ; Iliewa, Zwetelina ; Jung, Dominik ; Weber, Martin

DOI:	https://doi.org/10.1007/978-3-030-01087-4_16
URL:	https://link.springer.com/chapter/10.1007/978-3-03...
Additional URL:	http://www.neurois.org/wp-content/uploads/2018/06/...
Document Type:	Conference or workshop publication
Year of publication:	2019
Book title:	Information Systems and Neuroscience : NeuroIS Retreat 2018
The title of a journal, publication series:	Lecture Notes in Information Systems and Organisation
Volume:	29
Page range:	133-138
Conference title:	NeuroIS Retreat 2018
Location of the conference venue:	Wien, Austria
Date of the conference:	June 19-21, 2018
Author/Publisher of the book (only the first ones mentioned):	Davis, Fred D.
Place of publication:	Cham
Publishing house:	Springer
ISBN:	978-3-030-01086-7 , 978-3-030-01087-4
Publication language:	English
Institution:	Business School > ABWL u. Bankbetriebslehre (Seniorprofessur) (Weber 2017-)
Subject:	150 Psychology 330 Economics
Keywords (English):	Robo-advisory , Financial risk , Taking , Emotion regulation , Biofeedback , Physiological arousal
Abstract:	We propose an experimental study to examine how to optimally design a robo-advisor for the purposes of financial risk taking. Specifically, we focus on robo-advisors which are able to (i) “speak” the language of the investors by communicating information on the statistical properties of risky assets in an intuitiveway, (ii) “listen” to the investor by monitoring her emotional reactions and (iii) do both. The objectives of our study are twofold. First, we aim to understand how robo-advisors affect financial risk taking and the revisiting of investment decisions. Second, we aim to identify who is most affected by robo-advice.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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Glaser, Florian ; Iliewa, Zwetelina ; Jung, Dominik ; Weber, Martin Towards designing robo-advisors for unexperienced investors with experience sampling of time-series data. Davis, Fred D. Lecture Notes in Information Systems and Organisation 29 133-138 In: Information Systems and Neuroscience : NeuroIS Retreat 2018 (2019) Cham NeuroIS Retreat 2018 (Wien, Austria) [Conference or workshop publication]

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