Quantifying Trading Behavior in Financial Markets Using Google Trends

Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behav...

Full description

Bibliographic Details
Main Authors:	Preis, Tobias, Moat, Helen Susannah, Stanley, H. Eugene
Format:	Online
Language:	English
Published:	Nature Publishing Group 2013
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635219/

id	pubmed-3635219
recordtype	oai_dc
spelling	pubmed-36352192013-04-25 Quantifying Trading Behavior in Financial Markets Using Google Trends Preis, Tobias Moat, Helen Susannah Stanley, H. Eugene Article Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as “early warning signs” of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior. Nature Publishing Group 2013-04-25 /pmc/articles/PMC3635219/ /pubmed/23619126 http://dx.doi.org/10.1038/srep01684 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareALike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Preis, Tobias Moat, Helen Susannah Stanley, H. Eugene
spellingShingle	Preis, Tobias Moat, Helen Susannah Stanley, H. Eugene Quantifying Trading Behavior in Financial Markets Using Google Trends
author_facet	Preis, Tobias Moat, Helen Susannah Stanley, H. Eugene
author_sort	Preis, Tobias
title	Quantifying Trading Behavior in Financial Markets Using Google Trends
title_short	Quantifying Trading Behavior in Financial Markets Using Google Trends
title_full	Quantifying Trading Behavior in Financial Markets Using Google Trends
title_fullStr	Quantifying Trading Behavior in Financial Markets Using Google Trends
title_full_unstemmed	Quantifying Trading Behavior in Financial Markets Using Google Trends
title_sort	quantifying trading behavior in financial markets using google trends
description	Crises in financial markets affect humans worldwide. Detailed market data on trading decisions reflect some of the complex human behavior that has led to these crises. We suggest that massive new data sources resulting from human interaction with the Internet may offer a new perspective on the behavior of market participants in periods of large market movements. By analyzing changes in Google query volumes for search terms related to finance, we find patterns that may be interpreted as “early warning signs” of stock market moves. Our results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior.
publisher	Nature Publishing Group
publishDate	2013
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3635219/
_version_	1611972480776273920

Quantifying Trading Behavior in Financial Markets Using Google Trends

Similar Items