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
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;
Conference_Titel :
Independent Computing (ISIC), 2014 IEEE International Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/INDCOMP.2014.7011756