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Real-time extended psychophysiological analysis of financial risk processing

Author(s)
Singh, Manish; Xu, Qingyang; Wang, Sarah J; Hong, Tinah; Ghassemi, Mohammad M; Lo, Andrew W; ... Show more Show less
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
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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>
Date issued
2022
URI
https://hdl.handle.net/1721.1/144454
Department
Sloan School of Management. Laboratory for Financial Engineering; Massachusetts Institute of Technology. Operations Research Center; Sloan School of Management; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science; Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Journal
PLOS ONE
Publisher
Public Library of Science (PLoS)
Citation
Singh, 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).
Version: Final published version

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