Emotional response modeling in financial markets : Boston Stock Exchange data analysis

In this thesis, physiological data is analyzed in the context of financial risk processing, specifically investigating the effects of financial trading decisions and situations on the physiological responses of professional market makers. The data for this analysis comes from an experiment performed on market makers at the Boston Stock Exchange. This analysis involved significant preprocessing of large financial and physiological data sets. Short-term and long term analysis of financial and performance based event markers of the data are performed and the results interpreted. There are two main conclusions. First, negative performance events are found to be the the main driver of physiological responses; positive performance events have minimal deviations from baseline physiological signals. Second, a long term analysis of events yield more substantial physiological changes than a short term analysis.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2004

Author dc:creator

• McCaney, Patrick Michael, 1980-

Advisor dc:contributor.advisor

• Andrew W. Lo and Dmitry Repin.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

en_US

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/28481

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/28481