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

In this study, we test the efficient market hypothesis for a number of sectors in the US stock
market during the COVID-19 pandemic to identify its effects on individual sectors. To test this …

This paper examines the efficiency and asymmetric multifractal features of NFTs, DeFi,
cryptocurrencies, and traditional assets using Asymmetric Multifractal Cross-Correlations …

This study examines asymmetric efficiency and connectedness among halal tourism stocks,
green stocks, cryptocurrency, gold, and oil using data covering the period from 2018M12 …

Abstract Structure and function go hand in hand. However, while a complex structure can be
relatively safely broken down into the minutest parts, and technology is now delving into …

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 …

In this paper, a new coefficient is proposed with the objective of quantifying the level of cross-
correlation between nonstationary time series. This cross-correlation coefficient is defined in …

Point sources are important routes through which pollutants enter rivers. It is important to
identify the characteristics of and trace the origins of water pollutants. In this study, an …

For stationary time series, the cross-covariance and the cross-correlation as functions of time
lag n serve to quantify the similarity of two time series. The latter measure is also used to …

The basic theoretical assumptions of Exercise Physiology and its research directions,
strongly influenced by reductionism, may hamper the full potential of basic science …