In this paper, we map the process of synchronization of the Visegrad Four within the framework of the European Union using wavelet techniques. We show that the relationship of among countries is dynamic and that it varies over time and across frequencies. We study the synchronization applying...

In our study, we consider a new approach to quantify the effects of economic shocks on monetary transmission. We analyse the widely known phenomenon of price puzzle in a time-varying environment using the frequency decomposition. We use the frequency response function to measure the power of...

We study the relationship between conditional quantiles of returns and the long-, medium- and short-term volatility in a portfolio of financial assets. We argue that the combination of quantile panel regression and wavelet decomposition of the volatility time series provides us with new insights...

This paper investigates how to measure common market risk factors using newly proposed Panel Quantile Regression Model for Returns. By exploring the fact that volatility crosses all quantiles of the return distribution and using penalized fixed effects estimator we are able to control for...

Understanding of volatility term structure is highly relevant both for market agents and policymakers. As traditional methodologies often bring results contradicting situation on the markets, we revisit volatility term structure modeling in univariate case. In this paper we benefit from...

Based on intraday data for a large cross-section of individual stocks and Exchange traded funds, we show that short-term as well as long-term fluctuations of realized market and average idiosyncratic higher moments risks are priced in the crosssectionof asset returns. Specifically, we find that...