| 英文摘要 |
This article explores whether changes in stock prices affect investor sentiment and how they utilize internet search information to ultimately impact stock returns. The study employs Hansen’s (1999) panel threshold regression (PTR) model and uses weekly data from 82 listed companies in Taiwan with a capitalization of over NT$10 billion from July 2012 to June 2022 as the sample. The findings imply that utilizing stock returns as a threshold variable enables the differentiation of the threshold effects of Google search volume index, which have differing impacts on stock returns. Investor sentiment significantly impacts stock returns at a threshold of -4.8086%, which results in the formation of two interval divisions as Google search volume index has significant positive and negative effects on stock returns. Investors may overreact to digital information leading to prolonged increases or decreases in stock returns. Therefore, the Google search volume index should be regarded as a proxy variable for investor attention and used to explain stock returns to enhance price discovery and market efficiency, thereby becoming an important reference indicator for investment decision-making. |