Based on previous developments of the concept of market states using correlation matrices, in the present paper we address the dynamical evolution of correlation matrices in time. This will imply minor modifications to the market states themselves, due to increased attention to the transition matrix between the states. We will introduce trajectories of the correlation matrices by considering one day shifts for the epoch used to calculate the correlation matrices and will visualize both the states and the trajectories after dimensional scaling. This approach using dynamics improves the options of risk assessment and opens the door to dynamical treatments of markets and shows noise suppression in a new light.Comment: 22 pages and 27 figures. ...
We investigate the dynamics of correlations present between pairs of industry indices of U.S. stocks...
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)In this paper, we ...
This paper investigates the dynamic causal linkages among U.S. equity and commodity futures markets ...
Based on previous developments of the concept of market states using correlation matrices, in the pr...
Analyzing market states of the S&P 500 components on a time horizon January 3, 2006 to August 10, 20...
Abstract. We analyze the daily stock data of the Nasdaq Composite index in the 22-year period 1992 −...
The understanding of complex systems has become a central issue because such systems exist in a wide...
Understanding correlations in complex systems is crucial in the face of turbulence, such as the ongo...
We develop a new method to find the number of volatility regimes in a nonstationary financial time s...
This paper assesses the economic value of modeling conditional correlations for mean–variance portfo...
Tipping points in complex systems are structural transitions from one state to another. In financial...
We investigate the daily correlation present among market indices of stock exchanges located all ove...
In this paper a correction factor for Jennrich's statistic is introduced in order to be able not onl...
We study the estimation and forecast of pairwise correlations and the method for generating random c...
We investigate the dynamics of correlations present between pairs of industry indices of U.S. stocks...
We investigate the dynamics of correlations present between pairs of industry indices of U.S. stocks...
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)In this paper, we ...
This paper investigates the dynamic causal linkages among U.S. equity and commodity futures markets ...
Based on previous developments of the concept of market states using correlation matrices, in the pr...
Analyzing market states of the S&P 500 components on a time horizon January 3, 2006 to August 10, 20...
Abstract. We analyze the daily stock data of the Nasdaq Composite index in the 22-year period 1992 −...
The understanding of complex systems has become a central issue because such systems exist in a wide...
Understanding correlations in complex systems is crucial in the face of turbulence, such as the ongo...
We develop a new method to find the number of volatility regimes in a nonstationary financial time s...
This paper assesses the economic value of modeling conditional correlations for mean–variance portfo...
Tipping points in complex systems are structural transitions from one state to another. In financial...
We investigate the daily correlation present among market indices of stock exchanges located all ove...
In this paper a correction factor for Jennrich's statistic is introduced in order to be able not onl...
We study the estimation and forecast of pairwise correlations and the method for generating random c...
We investigate the dynamics of correlations present between pairs of industry indices of U.S. stocks...
We investigate the dynamics of correlations present between pairs of industry indices of U.S. stocks...
Erworben im Rahmen der Schweizer Nationallizenzen (http://www.nationallizenzen.ch)In this paper, we ...
This paper investigates the dynamic causal linkages among U.S. equity and commodity futures markets ...