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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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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 |
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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 |
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