This paper investigates the role of investor attention in forecasting realized volatility for fourteen international stock markets, by means of Google Trends data, over the sample period January 2004 through November 2021. We devise an augmented Empirical Similarity model that combines three...

This paper investigates the dynamics of international stock return correlations between the U.S., the U.K., Germany and France. Estimated correlations are modeled in an ARDL framework to evaluate how the market-wide uncertainty in the U.S. affects international stock market comovements. Results...

Using the panel vector autoregression (VAR) method, this paper documents relationships between investor attention and stock market activities; i.e., return, volatility, and trading volume, respectively. In sum, bidirectional dynamic interdependence of the SVI–stock market activities...