A TAIEX forecasting model based on changes of keyword search volume on Google Trends

Min-Hsuan Fan, En-Chih Liao, Mu-Yen Chen
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引用次数: 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.
基于Google趋势关键词搜索量变化的TAIEX预测模型
在本研究中,我们使用谷歌趋势作为预测工具来预测投资者的行为及其对股票市场的影响。从行为和社会的角度来看,越来越多的互联网用户每天使用谷歌趋势作为搜索引擎在网站上冲浪。因此,这些搜索行为可以被视为个人投票,因为互联网用户经常搜索他们感兴趣的项目。基于此动机,本研究旨在探讨网路搜寻与台湾证券交易所加权指数之间的关系。最后,本研究为投资者提供了一种不同于基本面分析和技术分析的方法。它为刚接触股票市场的投资者提供了一个更容易理解的参考标准。对于擅长基本面分析和技术分析的投资者,也可以作为参考科目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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