The period of the global financial crisis can be characterized by the spillover of negative innovations among stock markets worldwide. Stock markets in Central Europe were not excluded as they are not isolated from global stock markets. Recently published scientific studies dealing with this...

Predicting volatility is a must in the finance domain. Estimations of volatility, along with the central tendency, permit us to evaluate the chances of getting a particular result. Financial analysts are frequently challenged with the assignment of diversifying assets in order to form efficient...

This paper uses the novel quantile coherency approach to examine the tail dependence network of 49 international stock markets in the frequency domain. We find that geographical proximity and state of market development are important factors in stock markets networks. Both the short- and...