DocumentCode
226573
Title
A TAIEX forecasting model based on changes of keyword search volume on Google Trends
Author
Min-Hsuan Fan ; En-Chih Liao ; Mu-Yen Chen
Author_Institution
Inf. Manage., Nat. Taichung Univ. of Sci. & Technol., Taichung, Taiwan
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
1
Lastpage
4
Abstract
In this study, we used the Google Trends as a prediction tool to predict the investors´ behavior and its impact on stock market. In the behavior and social perspective, more and more Internet users use Google Trends as the search engine to surf on the websites every day. Therefore, these search actions can be seen as personal votes because Internet users often search items they are interested in. Based on this motivation, this study wanted to investigate the relationship between Internet search and Taiwan Stock Exchange Weighted Index. Finally, this study provides the investors a different approach from fundamental analysis and technical analysis. It offers a more understandable reference standard to investors new to the stock market. For investors who are good at fundamental analysis and technical analysis, it can be also used as a reference subject.
Keywords
Internet; Web sites; search engines; stock markets; Google Trends; Internet search; Internet users; TAIEX forecasting model; Taiwan stock exchange weighted index; Websites; keyword search volume; search engine; stock market; Biological neural networks; Correlation; Google; Indexes; Keyword search; Market research; Stock markets; Google Trends; search volume; stock market;
fLanguage
English
Publisher
ieee
Conference_Titel
Independent Computing (ISIC), 2014 IEEE International Symposium on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/INDCOMP.2014.7011756
Filename
7011756
Link To Document