SOAS Research Online

A Free Database of the Latest Research by SOAS Academics and PhD Students

[skip to content]

Kandasamy, Narayanan and Garfinkel, Sarah N. and Page, Lionel and Hardy, Ben and Critchley, Hugo D. and Gurnell, Mark and Coates, John M. (2016) 'Interoceptive Ability Predicts Survival on a London Trading Floor.' Scientific Reports, 6 (32986).

[img] Text - Published Version
Available under License Creative Commons Attribution 4.0 (CC-BY 4.0).

Download (338kB)

Abstract

Interoception is the sensing of physiological signals originating inside the body, such as hunger, pain and heart rate. People with greater sensitivity to interoceptive signals, as measured by, for example, tests of heart beat detection, perform better in laboratory studies of risky decision-making. However, there has been little field work to determine if interoceptive sensitivity contributes to success in real-world, high-stakes risk taking. Here, we report on a study in which we quantified heartbeat detection skills in a group of financial traders working on a London trading floor. We found that traders are better able to perceive their own heartbeats than matched controls from the non-trading population. Moreover, the interoceptive ability of traders predicted their relative profitability, and strikingly, how long they survived in the financial markets. Our results suggest that signals from the body - the gut feelings of financial lore - contribute to success in the markets.

Item Type: Journal Article
SOAS Departments & Centres: Departments and Subunits > School of Finance & Management
Legacy Departments > Faculty of Law and Social Sciences > School of Finance and Management
ISSN: 20452322
Copyright Statement: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
DOI (Digital Object Identifier): https://doi.org/10.1038/srep32986
Date Deposited: 20 Sep 2016 13:10
URI: https://eprints.soas.ac.uk/id/eprint/23061

Altmetric Data

Statistics

Download activity - last 12 months
Downloads since deposit
200Downloads
320Hits
Accesses by country - last 12 months
Accesses by referrer - last 12 months

Repository staff only

Edit Item Edit Item