In this paper, we employ the multifractal detrended cross-correlation analysis (MF-DCCA) as the measurement instrument for the dynamic cross-correlation inspection between US economic policy uncertainty (EPU) index and US dollar exchange rate return (Ret). By calculating the cross-correlation statistics, we find mild acceptance of cross-correlation between EPU and Ret qualitatively. With further application of MF-DCCA methodology, we find strong power law cross-correlation existence within all scaling orders. Also, apparent persistence of cross-correlation has been discovered with significant Hurst exponents of all orders. Besides, we find that long-term cross-correlation demonstrates more persistence and higher degree of multifractality th...
A multifractal, detrended fluctuation approach is used to analyze the growth enterprise market (GEM)...
Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a subjec...
We compute the auto-correlations and cross-correlations of the volatility time series of the Argenti...
We investigate the cross-correlations of return-volume relationship of the Bitcoin market. In partic...
In this paper, Stock market comovements are examined using cointegration, Granger causality tests an...
This paper analyzed the influence of dollar on crude oil and gold based on the multifractal detrende...
We consider a few quantities that characterize trading on a stock market in a fixed time interval: l...
The miltifractal properties and scaling behaviour of the exchange rate variations of the Iranian ria...
In this study, we analyzed the multifractality and the source of multifractality of the returns of G...
This study examines the power law properties of 11 US credit and stock markets at the industry level...
We introduce a new method for detection of long-range cross-correlations and cross-multifractality –...
We supply a new perspective to describe and understand the behavior of cross-correlations between en...
This paper builds on Asai and McAleer (2009) and develops a new multivariate Dynamic Conditional Cor...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...
International audienceAfter Mandelbrot's seminal work, scale-free and multifractal temporal dynamics...
A multifractal, detrended fluctuation approach is used to analyze the growth enterprise market (GEM)...
Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a subjec...
We compute the auto-correlations and cross-correlations of the volatility time series of the Argenti...
We investigate the cross-correlations of return-volume relationship of the Bitcoin market. In partic...
In this paper, Stock market comovements are examined using cointegration, Granger causality tests an...
This paper analyzed the influence of dollar on crude oil and gold based on the multifractal detrende...
We consider a few quantities that characterize trading on a stock market in a fixed time interval: l...
The miltifractal properties and scaling behaviour of the exchange rate variations of the Iranian ria...
In this study, we analyzed the multifractality and the source of multifractality of the returns of G...
This study examines the power law properties of 11 US credit and stock markets at the industry level...
We introduce a new method for detection of long-range cross-correlations and cross-multifractality –...
We supply a new perspective to describe and understand the behavior of cross-correlations between en...
This paper builds on Asai and McAleer (2009) and develops a new multivariate Dynamic Conditional Cor...
Cowles Foundation Discussion Paper, n° 1166/1997This paper presents the first empirical investigatio...
International audienceAfter Mandelbrot's seminal work, scale-free and multifractal temporal dynamics...
A multifractal, detrended fluctuation approach is used to analyze the growth enterprise market (GEM)...
Unlike price fluctuations, the temporal structure of cryptocurrency trading has seldom been a subjec...
We compute the auto-correlations and cross-correlations of the volatility time series of the Argenti...