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A bnorm al Turnover A round Events. Notes: The figure shows the average normalized abnormal trading turnover in the smaller company of each pair around corporate events (earnings announcements, CIGs, forecasts, and recommendations) in the bigger company of the pair. Events coincide with time zero on the horizontal axis.

A bnorm al Turnover A round Events. Notes: The figure shows the average normalized abnormal trading turnover in the smaller company of each pair around corporate events (earnings announcements, CIGs, forecasts, and recommendations) in the bigger company of the pair. Events coincide with time zero on the horizontal axis.

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We conduct a search for pairs of companies with similar names/ticker symbols. Between 12% and 25% of such pairs exhibit co-movements in trading turnover, which we attribute to investor confusion. We estimate that trades made by mistake contributed to 5% of the trading turnover. The three-hour CARs for the company chosen by mistake around the time i...

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Purpose This empirical work studies the influence of investors’ Internet searches on financial markets. Design/methodology/approach In this study, an asset pricing model with six factors is used, and autoregression, heteroscedasticity and moving average are taken into account to extract the independent shocks of each variable. Subsequently, a causality in-mean and in-variance analysis is performed to test the influence of Google searches on financial market variables, specifically, to test whether there is an influence on the idiosyncratic returns of financial assets. Findings Unlike most of the literature, the results show that Google searches on the name of listed companies have little influence on the trend and volatility of asset returns. On the contrary, these searches are shown to have a significant influence on trading volumes in the following week. Practical implications When analyzing specific effects, such as the influence of Internet searches, on financial markets, it is necessary that the model must include financial properties (asset valuation models) and statistical characteristics (stylized facts); otherwise, the empirical results could be inconsistent, since, among other issues, statistical findings may not be robust given autocorrelation and heteroscedasticity, and if an asset valuation model is not considered, the specific effect analyzed could simply be an indirect effect of a risk factor excluded from the model. Originality/value The empirical evidence shows that individual investors using Google have a significant influence on volume only so that institutional investors using other sources of information drive market prices. This means that potential investors should only be interested in the Internet searches index if their interest is focused on trading volume