The Relationship between Investor’s Attention and Stock Performance in Fashion Industry

Abstract

The popularization of the Internet makes information dissemination extremely rapid. After obtaining relevant stock information, investors conduct relevant searches and make investment decisions. Google Trends records the number of keyword searches, which measured the investors' attention. Since fashion industry companies' performance is greatly affected by Internet public opinion, this study took the top 100 listed companies in the fashion industry by corporate assets as the research object. It established a multiple regression model by fixed effect and adding interaction terms. The results show that the changes in investor attention as measured by Google Trends have a positive relationship to changes in company stock prices using Robustness. This study used the VAR model and found out the exact lag period when investors' attention affected the stock performance and confirmed that there is indeed a causal relationship between them by Granger analysis. This research draws attention to helping investors provide important tips when forecasting the fashion industry stock market.