Since the outbreak of the COVID-19 pandemic, stock markets around the world have experienced unprecedented declines, which have resulted in extremely high stock market uncertainty, measured as price variation. In this paper, we show that during such periods, Google Trends data represent a timely...

We test a sample of 3,586 banks from 33 European countries to determine whether performances above or below a social aspiration level (median performance of peer banks) influence banks’ aggregate risk levels. Our results are consistent with the behavioral theory of the firm and prospect theory...

In our network analysis of 40 developed, emerging and frontier stock markets during 2006-2014, we describe and model volatility spillovers during global financial crisis and tranquil periods. The resulting market interconnectedness is depicted by fitting a spatial model incorporating several...

We test a sample of 3,586 banks from 33 European countries to determine whether performances above or below a social aspiration level (median performance of peer banks) influence banks' aggregate risk levels. Our results are consistent with the behavioral theory of the firm and prospect theory...

In this article, we study the possible explanatory power of macroeconomic factors that may drive the stock market integration between the Czech Republic, Poland and Hungary (CEE-3) and developed countries, using Germany as a benchmark. Our findings suggest that the recent global financial crisis...

The structure of return spillovers is examined by constructing Granger causality networks using daily closing prices of 20 developed markets from 2nd January 2006 to 31st December 2013. The data is properly aligned to take into account non-synchronous trading effects. The study of the resulting...

Using monthly observations of industrial production and stock market indices from January 1961 to May 2012, we analyse the long-run relationship between the stock markets and real economic activity in the G-7 countries. In particular, this analysis uses the Toda and Yamamoto (1995) approach with...

Using dynamic conditional correlations (DCCs), we estimate the time-varying relationship between stock market returns and output growth based on monthly data for the US over the 1964:01 to 2012:07 time period. We demonstrate that in general, this relationship is positive and present during the...