This study systematically reviewed the literature on using the Google Search Volume Index
(GSVI) as a proxy variable for investor attention and stock market movements. We analyzed …

The worldwide presence of AI needs to be quantified. This study proposes a descriptive
approach and the use of multiple methods and data. An extensive electronic corpus of books …

Transfer Entropy was applied to analyze the correlations and flow of information between
200,500 tweets and 23 of the largest capitalized companies during 6 years along the period …

Purpose: To analyze the predictability of Google's search queries in the Brazilian financial
market. Originality/gap/relevance/implications: Despite a growing foreign literature using …

The behavioral finance literature highlights two apparently contradictory behaviors, both of
which presumably lead to impaired returns for investors–under-and overreaction to …

This study analyzes the relationship between stock market indices and Google trends. For
this purpose, 12 stock market indices whose domestic market capitalization values are more …

Purpose: The objective of this paper is to examine whether there is an association between
depression and anxiety, and stock market investments in the United States. Methodology …

This study proposes a new Financial Well-Being (FWB) measurement methodology based
on Google Trends Search (GTS). Current survey-based FWB measurement methods are …

Efficient market hypothesis (EMH) asserts that financial market valuations incorporate all
existing, new, and even hidden information, since investors act as rational agents who seek …

Financial economic research has extensively documented the fact that the impact of the
arrival of negative news on stock prices is more intense than that of the arrival of positive …