 Algorithmic trading, what if it is just an illusion? Evidence from experimental asset marketsSandrine Jacob-Leal and Nobuyuki Hanaki Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), 2024, vol. 112, issue C Abstract: We experimentally investigate whether and how the potential presence of algorithmic trading (AT) in human-only asset markets can influence humans’ price forecasts, trading activities and price dynamics. Two trading strategies commonly employed by high-frequency traders, spoofing (SP) - associated with market manipulation - and market making (MM) - seen as liquidity provision - are considered. These experiments reveal that, first, the mere expectation of SP traders can, at first, impair price convergence towards fundamentals. Second, the expected presence of AT, especially MM traders, induce larger initial price forecasts deviations from fundamentals. Third, despite the absence of AT in our experiments, the information about the presence of AT, employing MM strategy, is sufficient to alter subjects trading behavior over time and the impact of past realized prices on subjects’ order prices. Keywords: Market efficiency; Market volatility; Algorithmic trading; Experiment; Asset market (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:soceco:v:112:y:2024:i:c:s2214804324000788 DOI: 10.1016/j.socec.2024.102240 Access Statistics for this article Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics) is currently edited by Pablo Brañas Garza More articles in Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics) from Elsevier |
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