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dc.contributor.authorSingh, Manish
dc.contributor.authorXu, Qingyang
dc.contributor.authorWang, Sarah J
dc.contributor.authorHong, Tinah
dc.contributor.authorGhassemi, Mohammad M
dc.contributor.authorLo, Andrew W
dc.date.accessioned2022-08-26T13:01:05Z
dc.date.available2022-08-26T13:01:05Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/144454
dc.description.abstract<jats:p>We study the relationships between the real-time psychophysiological activity of professional traders, their financial transactions, and market fluctuations. We collected multiple physiological signals such as heart rate, blood volume pulse, and electrodermal activity of 55 traders at a leading global financial institution during their normal working hours over a five-day period. Using their physiological measurements, we implemented a novel metric of trader’s “psychophysiological activation” to capture affect such as excitement, stress and irritation. We find statistically significant relations between traders’ psychophysiological activation levels and such as their financial transactions, market fluctuations, the type of financial products they traded, and their trading experience. We conducted post-measurement interviews with traders who participated in this study to obtain additional insights in the key factors driving their psychophysiological activation during financial risk processing. Our work illustrates that psychophysiological activation plays a prominent role in financial risk processing for professional traders.</jats:p>en_US
dc.language.isoen
dc.publisherPublic Library of Science (PLoS)en_US
dc.relation.isversionof10.1371/journal.pone.0269752en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourcePLoSen_US
dc.titleReal-time extended psychophysiological analysis of financial risk processingen_US
dc.typeArticleen_US
dc.identifier.citationSingh, Manish, Xu, Qingyang, Wang, Sarah J, Hong, Tinah, Ghassemi, Mohammad M et al. 2022. "Real-time extended psychophysiological analysis of financial risk processing." PLOS ONE, 17 (7).
dc.contributor.departmentSloan School of Management. Laboratory for Financial Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Operations Research Center
dc.contributor.departmentSloan School of Management
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalPLOS ONEen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-08-26T12:52:28Z
dspace.orderedauthorsSingh, M; Xu, Q; Wang, SJ; Hong, T; Ghassemi, MM; Lo, AWen_US
dspace.date.submission2022-08-26T12:52:29Z
mit.journal.volume17en_US
mit.journal.issue7en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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