In this paper, we contribute to the literature on international stock market comovement. The novelty of our approach lies in usage of wavelet tools to high-frequency financial market data, which allows us to understand the relationship between stock market returns in a different way. Major part...

Cycles in the behavior of stock markets have been widely documented. There is an increasing body of literature on whether stock markets anticipate business cycles or its turning points. Several recent studies assert that financial integration impacts positively on business cycle comovements of...

We investigate the evolution of co-movement and lead-lag relationships between the nominal effective European exchange rate and the largest European stock markets in the time and frequency dimension. We decompose the financial return series into different time scales and apply the cross-wavelet...

This paper investigates the integration of emerging stock markets over different time horizons using daily data over 1992-2011. The links among major Middle East and North African (MENA) stock exchange markets (Egypt, Israel, Jordan, Lebanon, Morocco, Turkey and United Arab Emirates) are...

This paper examines the relationship between Indian equity prices and other developed markets, in the time-scale domain, using wavelets based multiscale analysis and cross wavelet analysis. Stock markets are analyzed at different levels of resolution which makes it possible to perform a scale by...

The analysis of co-movements of stock market returns is a fundamental issue in finance. The aim of this paper is to examine the co-movement between Germany and major International Stock Markets in the time-frequency space. Our sample period goes from 01 June 1992 to 26 March 2013 and includes...

We investigate the effect of a stock market liberalization on industry growth in emerging markets. Consistent with the view that liberalization reduces financing constraints, we find that industries that are more externally dependent and face better growth opportunities grew faster following...

In the paper we test for the different reactions of stock markets to the current financial crisis. We focus on Central European stock markets, namely the Czech, Polish and Hungarian ones, and compare them to the German and U.S. benchmark stock markets. Using wavelet analysis, we decompose a time...

The paper contributes to the literature on integration of stock markets by addressing the issue of non-synchronous trading. We argue that controlling for time differences in trading hours of stock markets is important and show that time-adjustment improves estimates of market integration. We...

The purpose of this study is to investigate the relationship between investor sentiment and leading equity market indices from the U.S., Europe, Asia, and globally between January 2020 and June 2022. The methodological approaches utilized are quantile regression and wavelet analysis. The results...