The future of robo-advice: tailor-made decision support for investors

  • ROBO-ADVICE HAS THE POTENTIAL TO DISRUPT THE MARKET FOR FINANCIAL ADVICE. ALGORITHMS ALREADY DELIVER LOW-COST, AUTOMATIC, AND STANDARDIZED INVESTMENT GUIDANCE TO CLIENTS FROM ALL WEALTH LEVELS AND ESPECIALLY TO THOSE PREVIOUSLY EXCLUDED FROM PERSONAL FACE-TO-FACE ADVICE. TODAY’S OFFERINGS CONCENTRATE ON CONVENIENCE AND COMPLEXITY REDUCTION, COUPLED WITH PASSIVE INVESTMENTS. THE NEXT STEP WILL ADVANCE ALGORITHMS TO DELIVER TAILOR-MADE DECISION SUPPORT FOR THE GROWING NUMBER OF SELF-DIRECTED INVESTORS. THIS ARTICLE PRESENTS REAL-LIFE EMPIRICAL RESULTS ON THE INTRODUCTION OF A PORTFOLIO OPTIMIZATION TOOL THAT GUIDES BROKERAGE CLIENTS TOWARDS INDIVIDUAL OPTIMAL PORTFOLIOS.

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Metadaten
Author:Andreas HackethalORCiDGND, Steffen MeyerORCiDGND, Matthias Rumpf
URN:urn:nbn:de:hebis:30:3-580098
ISSN:1866-1238
Parent Title (English):EFL quarterly : an E-Finance Lab publication
Publisher:E-Finance Lab e.V.
Place of publication:Frankfurt am Main
Document Type:Article
Language:English
Year of Completion:2017
Year of first Publication:2017
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2021/01/28
Volume:2017
Issue:2
Page Number:3
First Page:6
Last Page:8
HeBIS-PPN:477488242
Institutes:Angeschlossene und kooperierende Institutionen / E-Finance Lab e.V.
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht