DocumentCode
140938
Title
Stock trade volume prediction with Yahoo Finance user browsing behavior
Author
Bordino, Ilaria ; Kourtellis, Nicolas ; Laptev, N. ; Billawala, Youssef
Author_Institution
Yahoo Labs., Barcelona, Spain
fYear
2014
fDate
March 31 2014-April 4 2014
Firstpage
1168
Lastpage
1173
Abstract
Web traffic represents a powerful mirror for various real-world phenomena. For example, it was shown that web search volumes have a positive correlation with stock trading volumes and with the sentiment of investors. Our hypothesis is that user browsing behavior on a domain-specific portal is a better predictor of user intent than web searches.
Keywords
portals; stock markets; Web search volumes; Web traffic; Yahoo Finance user browsing behavior; domain-specific portal; investor sentiment; positive correlation; stock trade volume prediction; Companies; Correlation; Finance; Industries; Time series analysis; Web search;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering (ICDE), 2014 IEEE 30th International Conference on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/ICDE.2014.6816733
Filename
6816733
Link To Document