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Transferring cognitive talent across domains to reduce the disposition effect in investment.
Rotaru, Kristian; Kalev, Petko S; Yadav, Nitin; Bossaerts, Peter.
Afiliación
  • Rotaru K; Monash Business School, Monash University, Caulfield East, VIC, 3145, Australia.
  • Kalev PS; BrainPark, The Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging Facility, Monash University, Clayton, VIC, 3800, Australia.
  • Yadav N; Department of Economics, Finance and Marketing, La Trobe Business School, La Trobe University, Bundoora, VIC, 3086, Australia.
  • Bossaerts P; Brain, Mind and Markets Lab, University of Melbourne, Parkville, VIC, 3050, Australia.
Sci Rep ; 11(1): 23068, 2021 11 29.
Article en En | MEDLINE | ID: mdl-34845327
ABSTRACT
We consider Theory of Mind (ToM), the ability to correctly predict the intentions of others. To an important degree, good ToM function requires abstraction from one's own particular circumstances. Here, we posit that such abstraction can be transferred successfully to other, non-social contexts. We consider the disposition effect, which is a pervasive cognitive bias whereby investors, including professionals, improperly take their personal trading history into account when deciding on investments. We design an intervention policy whereby we attempt to transfer good ToM function, subconsciously, to personal investment decisions. In a within-subject repeated-intervention laboratory experiment, we record how the disposition effect is reduced by a very significant 85%, but only for those with high scores on the social-cognitive dimension of ToM function. No such transfer is observed in subjects who score well only on the social-perceptual dimension of ToM function. Our findings open up a promising way to exploit cognitive talent in one domain in order to alleviate cognitive deficiencies elsewhere.

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article