On the benefits of robo-advice in financial markets
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Note: This paper is part of http://archiv.ub.uni-heidelberg.de/volltextserver/view/schriftenreihen/sr-3.html
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- Lambrecht, Marco & Oechssler, Jörg & Weidenholzer, Simon, 2024. "On the benefits of robo-advice in financial markets," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302354, Verein für Socialpolitik / German Economic Association.
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More about this item
Keywords
algorithmic trading; experiment; financial markets;All these keywords.
JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G20 - Financial Economics - - Financial Institutions and Services - - - General
- G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2023-10-16 (Banking)
- NEP-CMP-2023-10-16 (Computational Economics)
- NEP-EXP-2023-10-16 (Experimental Economics)
- NEP-GER-2023-10-16 (German Papers)
- NEP-UPT-2023-10-16 (Utility Models and Prospect Theory)
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