This paper investigates the relationship between the BRICs’ and the advanced economies’ stock markets from 2000 to 2016 utilizing continuous wavelet transform. The continuous wavelet transform allows us to explore these relationships in the time–frequency domain to capture short- and long-term investors’ perspectives. Bi-directional spillovers are captured in terms of returns and volatility. In addition to covering the periods of the dot.com crash, the 11 September 2001 events, the pre-2007 financialization bubble period and the resulting Global Financial Crisis, we study volatility spillovers arising from the BRIC, U.S. and European market shocks post the Global Financial Crisis. Based on our results, we confirm findings in relatively frag...
This paper relies on wavelet multiresolution analysis to investigate the dependence structure and pr...
This study accounts for the time-varying pattern of price shock transmission, exploring stock market...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
This paper contributes to the literature on international stock market co-movements and contagion. T...
This study aims to investigate the financial contagion during and after Greek Crisis to observe the ...
The recent global financial (and economic) crisis has validated the need to assess the financial sec...
This paper studies the dynamic relationships between the Baltic Dry Index (BDI) and the BRICS stock ...
Abstract: During the past two decades, financial markets across the globe have experienced sporadic ...
We use the wavelet analysis in order to investigate if financial contagion occurred between the US a...
The purpose of this study is to provide insight into the lead-lag relationships between the BRIC sto...
International audienceIn this paper, we contribute to the literature on the international stock mark...
This research analyzes and extends the study of contagion for BRICS emerging stock markets in the co...
AbstractIn this paper, we examine the financial contagion and dynamic correlation between three Euro...
In this paper, we have investigated the impact of the global financial crisis on the multi-horizon n...
In this paper we estimate a simultaneous equation model fitted to financial returns in order to dis...
This paper relies on wavelet multiresolution analysis to investigate the dependence structure and pr...
This study accounts for the time-varying pattern of price shock transmission, exploring stock market...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...
This paper contributes to the literature on international stock market co-movements and contagion. T...
This study aims to investigate the financial contagion during and after Greek Crisis to observe the ...
The recent global financial (and economic) crisis has validated the need to assess the financial sec...
This paper studies the dynamic relationships between the Baltic Dry Index (BDI) and the BRICS stock ...
Abstract: During the past two decades, financial markets across the globe have experienced sporadic ...
We use the wavelet analysis in order to investigate if financial contagion occurred between the US a...
The purpose of this study is to provide insight into the lead-lag relationships between the BRIC sto...
International audienceIn this paper, we contribute to the literature on the international stock mark...
This research analyzes and extends the study of contagion for BRICS emerging stock markets in the co...
AbstractIn this paper, we examine the financial contagion and dynamic correlation between three Euro...
In this paper, we have investigated the impact of the global financial crisis on the multi-horizon n...
In this paper we estimate a simultaneous equation model fitted to financial returns in order to dis...
This paper relies on wavelet multiresolution analysis to investigate the dependence structure and pr...
This study accounts for the time-varying pattern of price shock transmission, exploring stock market...
Wavelets orthogonally decompose data into different frequency components, and the temporal and frequ...