Cross-sectional signatures of market panic were recently discussed on daily time scales in [1], extended here to a study of cross-sectional properties of stocks on intra-day time scales. We confirm specific intra-day patterns of dispersion and kurtosis, and find that the correlation across stocks increases in times of panic yielding a bimodal distribu-tion for the sum of signs of returns. We also find that there is memory in correlations, decaying as a power law with exponent 0.05. During the Flash-Crash of May 6 2010, we find a drastic increase in dispersion in conjunction with increased correlations. However, the kurtosis de-creases only slightly in contrast to findings on daily time-scales where kurtosis drops drastically in times of pan...
To identify emerging interdependencies between traded stocks we investigate the behavior of the stoc...
This paper applies the vector AR-DCC-FIAPARCH model to eight national stock market indices' daily re...
We study precursors to the global market crash that occurred on all main stock exchanges throughout ...
Cross-sectional signatures of market panic were recently discussed on daily time scales in [1], exte...
Comovement of stock market indices increases during crashes, and does not come down when the turmoil...
We establish several new stylized facts concerning the intra-day seasonalities of stock dynamics. Be...
We investigate the time evolution of financial cross-correlation coefficients during financial crise...
The aim of this article is to briefly review and make new studies of correlations and co-movements o...
International audienceThe aim of this article is to briefly review and make new studies of correlati...
In addressing the question of the time scales characteristic for the market formation, we analyze hi...
We study precursors to the global market crash that occurred on all main stock exchanges throughout ...
We study historical correlations and lead-lag relationships between individual stock risk (volatilit...
The 2007–2009 financial crisis, and its fallout, has strongly emphasized the need to define new ways...
AbstractThis paper applies the vector AR-DCC-FIAPARCH model to eight national stock market indices' ...
Financial markets are complex systems where investors interact using competing strategies that gener...
To identify emerging interdependencies between traded stocks we investigate the behavior of the stoc...
This paper applies the vector AR-DCC-FIAPARCH model to eight national stock market indices' daily re...
We study precursors to the global market crash that occurred on all main stock exchanges throughout ...
Cross-sectional signatures of market panic were recently discussed on daily time scales in [1], exte...
Comovement of stock market indices increases during crashes, and does not come down when the turmoil...
We establish several new stylized facts concerning the intra-day seasonalities of stock dynamics. Be...
We investigate the time evolution of financial cross-correlation coefficients during financial crise...
The aim of this article is to briefly review and make new studies of correlations and co-movements o...
International audienceThe aim of this article is to briefly review and make new studies of correlati...
In addressing the question of the time scales characteristic for the market formation, we analyze hi...
We study precursors to the global market crash that occurred on all main stock exchanges throughout ...
We study historical correlations and lead-lag relationships between individual stock risk (volatilit...
The 2007–2009 financial crisis, and its fallout, has strongly emphasized the need to define new ways...
AbstractThis paper applies the vector AR-DCC-FIAPARCH model to eight national stock market indices' ...
Financial markets are complex systems where investors interact using competing strategies that gener...
To identify emerging interdependencies between traded stocks we investigate the behavior of the stoc...
This paper applies the vector AR-DCC-FIAPARCH model to eight national stock market indices' daily re...
We study precursors to the global market crash that occurred on all main stock exchanges throughout ...