We analyze the time-varying co-movements of both financial and non-financial stock returns across countries to analyze the conditional correlation exhibited by cross-country pairs during the recent financial crisis. Using an asymmetric bivariate GARCH model, the analysis is conducted for a number of developed and developing countries. Given the origins of this current crisis, we expect increased correlation between financial sectors. However, recent correlations are not excessively large when compared to those earlier in this decade. Principal components analysis reveals one common driver of these pairwise correlations which may be related to U.S. returns and market liquidity
This paper attempts to find economic and financial factors contributing to the changing correlations...
We investigate the stock market comovements in Australia, Brazil, Canada, China, Germany, Hong Kong,...
This paper presents a novel, mixed-frequency based regression approach, derived from functional data...
We analyze the time-varying co-movements of both financial and non-financial stock returns across co...
We analyze the time-varying co-movements of both financial and non-financial stock returns across co...
The study attempts to capture static (long-run) as well as short-run time-varying co-movement among...
This thesis consists of three papers analysing time-varying cross-border correlation and spillover ...
This thesis consists of three papers analysing time-varying cross-border correlation and spillover ...
This paper investigates the correlation dynamics in the equity markets of 13 Asia-Pacific countries,...
This paper attempts to find economic and financial factors contributing to the changing correlations...
© 2014 The Authors. This paper applies the vector AR-DCC-FIAPARCH model to eight national stock mark...
The present study attempts to capture conditional or time-varying co-movement and dynamic interactio...
This paper investigates the correlation dynamics in the equity markets of 13 Asia-Pacific countries,...
This thesis consists of three papers analysing time-varying cross-border correlation and spillover ...
This paper investigates the correlation dynamics in the equity markets of 13 Asia-Pacific countries,...
This paper attempts to find economic and financial factors contributing to the changing correlations...
We investigate the stock market comovements in Australia, Brazil, Canada, China, Germany, Hong Kong,...
This paper presents a novel, mixed-frequency based regression approach, derived from functional data...
We analyze the time-varying co-movements of both financial and non-financial stock returns across co...
We analyze the time-varying co-movements of both financial and non-financial stock returns across co...
The study attempts to capture static (long-run) as well as short-run time-varying co-movement among...
This thesis consists of three papers analysing time-varying cross-border correlation and spillover ...
This thesis consists of three papers analysing time-varying cross-border correlation and spillover ...
This paper investigates the correlation dynamics in the equity markets of 13 Asia-Pacific countries,...
This paper attempts to find economic and financial factors contributing to the changing correlations...
© 2014 The Authors. This paper applies the vector AR-DCC-FIAPARCH model to eight national stock mark...
The present study attempts to capture conditional or time-varying co-movement and dynamic interactio...
This paper investigates the correlation dynamics in the equity markets of 13 Asia-Pacific countries,...
This thesis consists of three papers analysing time-varying cross-border correlation and spillover ...
This paper investigates the correlation dynamics in the equity markets of 13 Asia-Pacific countries,...
This paper attempts to find economic and financial factors contributing to the changing correlations...
We investigate the stock market comovements in Australia, Brazil, Canada, China, Germany, Hong Kong,...
This paper presents a novel, mixed-frequency based regression approach, derived from functional data...