Evidence map›Paper›PMID 35877608›Full record

ArticlePloS one2022

Real-time extended psychophysiological analysis of financial risk processing.

Manish Singh, Qingyang Xu, Sarah J Wang, Tinah Hong, Mohammad M Ghassemi, Andrew W Lo

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Manish SinghMIT Laboratory for Financial Engineering, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-0823-2629
Qingyang XuMIT Laboratory for Financial Engineering, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-3342-1795
Sarah J WangMIT Laboratory for Financial Engineering, Cambridge, Massachusetts, United States of America.
Tinah HongMIT Laboratory for Financial Engineering, Cambridge, Massachusetts, United States of America.
Mohammad M GhassemiDepartment of Computer Science and Engineering, Michigan State University, East Lansing, MI, United States of America.
Andrew W LoMIT Laboratory for Financial Engineering, Cambridge, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

CommercePsychophysiologyHeart Rate

Identifiers

PMID35877608
PMCPMC9312384

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.