Cargando…

Tracking Traders' Understanding of the Market Using e-Communication Data

Tracking the volume of keywords in Internet searches, message boards, or Tweets has provided an alternative for following or predicting associations between popular interest or disease incidences. Here, we extend that research by examining the role of e-communications among day traders and their col...

Descripción completa

Detalles Bibliográficos
Autores principales: Saavedra, Serguei, Duch, Jordi, Uzzi, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201971/
https://www.ncbi.nlm.nih.gov/pubmed/22046335
http://dx.doi.org/10.1371/journal.pone.0026705
_version_ 1782214960216014848
author Saavedra, Serguei
Duch, Jordi
Uzzi, Brian
author_facet Saavedra, Serguei
Duch, Jordi
Uzzi, Brian
author_sort Saavedra, Serguei
collection PubMed
description Tracking the volume of keywords in Internet searches, message boards, or Tweets has provided an alternative for following or predicting associations between popular interest or disease incidences. Here, we extend that research by examining the role of e-communications among day traders and their collective understanding of the market. Our study introduces a general method that focuses on bundles of words that behave differently from daily communication routines, and uses original data covering the content of instant messages among all day traders at a trading firm over a 40-month period. Analyses show that two word bundles convey traders' understanding of same day market events and potential next day market events. We find that when market volatility is high, traders' communications are dominated by same day events, and when volatility is low, communications are dominated by next day events. We show that the stronger the traders' attention to either same day or next day events, the higher their collective trading performance. We conclude that e-communication among traders is a product of mass collaboration over diverse viewpoints that embodies unique information about their weak or strong understanding of the market.
format Online
Article
Text
id pubmed-3201971
institution National Center for Biotechnology Information
language English
publishDate 2011
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-32019712011-11-01 Tracking Traders' Understanding of the Market Using e-Communication Data Saavedra, Serguei Duch, Jordi Uzzi, Brian PLoS One Research Article Tracking the volume of keywords in Internet searches, message boards, or Tweets has provided an alternative for following or predicting associations between popular interest or disease incidences. Here, we extend that research by examining the role of e-communications among day traders and their collective understanding of the market. Our study introduces a general method that focuses on bundles of words that behave differently from daily communication routines, and uses original data covering the content of instant messages among all day traders at a trading firm over a 40-month period. Analyses show that two word bundles convey traders' understanding of same day market events and potential next day market events. We find that when market volatility is high, traders' communications are dominated by same day events, and when volatility is low, communications are dominated by next day events. We show that the stronger the traders' attention to either same day or next day events, the higher their collective trading performance. We conclude that e-communication among traders is a product of mass collaboration over diverse viewpoints that embodies unique information about their weak or strong understanding of the market. Public Library of Science 2011-10-25 /pmc/articles/PMC3201971/ /pubmed/22046335 http://dx.doi.org/10.1371/journal.pone.0026705 Text en Saavedra et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Saavedra, Serguei
Duch, Jordi
Uzzi, Brian
Tracking Traders' Understanding of the Market Using e-Communication Data
title Tracking Traders' Understanding of the Market Using e-Communication Data
title_full Tracking Traders' Understanding of the Market Using e-Communication Data
title_fullStr Tracking Traders' Understanding of the Market Using e-Communication Data
title_full_unstemmed Tracking Traders' Understanding of the Market Using e-Communication Data
title_short Tracking Traders' Understanding of the Market Using e-Communication Data
title_sort tracking traders' understanding of the market using e-communication data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3201971/
https://www.ncbi.nlm.nih.gov/pubmed/22046335
http://dx.doi.org/10.1371/journal.pone.0026705
work_keys_str_mv AT saavedraserguei trackingtradersunderstandingofthemarketusingecommunicationdata
AT duchjordi trackingtradersunderstandingofthemarketusingecommunicationdata
AT uzzibrian trackingtradersunderstandingofthemarketusingecommunicationdata