A multifractal, detrended fluctuation approach is used to analyze the growth enterprise market (GEM) in China involving a range of correlations in fluctuations of share prices (fat tail), persistent and anti-persistent states. Our analysis exhibits company-specific multifractal characteristics, which vary among the companies listed in the same industry, e.g., the power-law cross-correlations between computer and electronics sectors. These results may help reduce the risk in complex financial markets. (C) 2012 Elsevier B.V. All rights reserved
Taking the opportunity of China’s launch of Shanghai crude oil futures (INE), this study empirically...
The concept of multifractality offers a powerful formal tool to filter out a multitude of the most r...
In this paper, we analyze and compare long-range power-law correlations of returns, absolute returns...
A multifractal, detrended fluctuation approach is used to analyze the growth enterprise market (GEM)...
In this paper, Stock market comovements are examined using cointegration, Granger causality tests an...
We use multifractal detrended fluctuation analysis (MF-DFA) to numerically investigate correlation, ...
International audienceThe multifractal detrended fluctuation analysis (MF-DFA) has been widely used ...
To analyze financial time series exhibiting volatility clustering, long-range dependence, or heavy-t...
We present a comparative analysis of multifractal properties of financial time series built on stock...
We investigate multifractal properties of commodity time series using multifractal detrended fluctua...
The miltifractal properties and scaling behaviour of the exchange rate variations of the Iranian ria...
The aim of this thesis is to provide an empirical evidence of multifractality in financial time seri...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
With the development of carbon market, the complex dynamic relationship between electricity and carb...
This study examines the power law properties of 11 US credit and stock markets at the industry level...
Taking the opportunity of China’s launch of Shanghai crude oil futures (INE), this study empirically...
The concept of multifractality offers a powerful formal tool to filter out a multitude of the most r...
In this paper, we analyze and compare long-range power-law correlations of returns, absolute returns...
A multifractal, detrended fluctuation approach is used to analyze the growth enterprise market (GEM)...
In this paper, Stock market comovements are examined using cointegration, Granger causality tests an...
We use multifractal detrended fluctuation analysis (MF-DFA) to numerically investigate correlation, ...
International audienceThe multifractal detrended fluctuation analysis (MF-DFA) has been widely used ...
To analyze financial time series exhibiting volatility clustering, long-range dependence, or heavy-t...
We present a comparative analysis of multifractal properties of financial time series built on stock...
We investigate multifractal properties of commodity time series using multifractal detrended fluctua...
The miltifractal properties and scaling behaviour of the exchange rate variations of the Iranian ria...
The aim of this thesis is to provide an empirical evidence of multifractality in financial time seri...
The detrending moving average (DMA) algorithm is a widely used technique to quantify the long-term c...
With the development of carbon market, the complex dynamic relationship between electricity and carb...
This study examines the power law properties of 11 US credit and stock markets at the industry level...
Taking the opportunity of China’s launch of Shanghai crude oil futures (INE), this study empirically...
The concept of multifractality offers a powerful formal tool to filter out a multitude of the most r...
In this paper, we analyze and compare long-range power-law correlations of returns, absolute returns...