Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

The rapid escalation of climate change and global warming underscores the critical role of
CO 2 emissions, necessitating effective mitigation strategies. Carbon Capture and Storage …

As a form of cryptocurrency, the issue of informational efficiency of Bitcoin has received
much attention recently. We add to the literature by investigating nine forms of …

We construct a Pearson correlation-based network and a partial correlation-based network,
ie, two minimum spanning trees (MST-Pearson and MST-Partial), to analyze the correlation …

The multifractal nature of agriculture-related stocks and derivatives has been extensively
studied. However, due to the scarcity and lack of representativeness of available data, the …

The price behavior of cryptocurrencies relative to conventional currencies remains relatively
understudied, despite some attempts that consider the Bitcoin market. This study examines …

With the rapid development of wearable Internet of Things (WIoT) devices, a significant
amount of sensitive/private information collected by them poses a considerable challenge to …

In this paper, we aim to identify which one is more informative in determining the price
fluctuations in a system consisting of three commonly used hedging assets, ie Bitcoin, gold …

The detrended cross-correlation coefficient ρ DCCA has recently been proposed to quantify
the strength of cross-correlations on different temporal scales in bivariate, nonstationary time …

The Pearson correlation coefficient is used by many researchers to construct complex
financial networks. However, it is difficult to capture the structural characteristics of financial …