This study aims to determine the most important component of economic freedom and to rank the performance of countries using multiple criteria decision-making tools within the context of fuzzy set theory. To do so, we utilize a combination of fuzzy entropy weighting and fuzzy technique for order...

The aim of this research is to thoroughly investigate the influence of the 2025 Donald Trump Presidential Inauguration on informational efficiency of the U.S. exchange-traded fund market in the context of political risk. The data set includes daily observations for twenty U.S. Exchange-Traded...

Background: The literature on measuring the complexity of production systems employs the graph and information theory. This study analyzes these systems and their coordination under varying states of control, with a focus on the probability of unfavorable events and their temporal...

This study addresses regional disparities and the dynamic evolution of China's science and technology finance integration (STFI) by constructing a composite index system using the entropy method. Recognizing the limitations of subjective weighting in traditional assessment frameworks, the...

Financial industry executives are sincerely concerned about the potential effects of greenwashing on their organizations. The primary objective of this research is to investigate the impact of board features on greenwashing and the strategies that executives may develop to mitigate the effects...

We introduce a new coherent risk measure, the minimal-entropy risk measure, which is built on the minimal-entropy 𝜎-martingale measure - a concept inspired by the well-known minimal-entropy martingale measure used in option pricing. While the minimal-entropy martingale measure is commonly...

In contemporary times, energy sustainability and security have become essential economic concerns globally. Nonetheless, in addition to these concerns, inadequate governance inside a corporation within the energy industry may result in corruption and energy instability within the sector. The...

The dynamic weighted cumulative residual (DWCR) entropy is regarded as an additional measure of uncertainty related to the residual lifetime function in several disciplines, including survival analysis and reliability. This article presents the DWCR formula based on Havarda and Charvat. This...

In this paper, a beta transform of multivariate normal datasets is obtained. The phi divergence measure, DΦ(F,G) between two distributions F and G is used to obtain a goodnessof-fit test to multivariate normality (MVN) based on the theoretical density function of the beta transformed random...

This study has two objectives: to identify sector-specific sustainability indicators from the literature and industry and to evaluate their importance through expert input.The analysis was conducted using the Fermatean fuzzy entropy and WASPAS method.The study found that, according to experts,...

To establish a comprehensive sustainable development framework that balances economic development and ESG levels, this paper proposes an EESG (Economics, Environment, Social, and Governance) evaluation system. This paper uses the entropy-weighted TOPSIS method to calculate and compare the EESG...

This study investigates systemic risk, return patterns, and diversification within the Johannesburg Stock Exchange (JSE) during the COVID-19 pandemic, utilizing data-centric approaches and the ARMA-GARCH vine copula-based conditional value-at-risk (CoVaR) model. By comparing three investment...

Multiple job holding (MJH) is increasingly frequent in industrialized countries. Individuals holding a secondary job add to their experience, skills, and networks. We study the long-run labor market outcomes after MJH and investigate whether career effects can be validated. We employ...

Multiple job holding (MJH) is increasingly frequent in industrialized countries. Individuals holding a secondary job add to their experience, skills, and networks. We study the long-run labor market outcomes after MJH and investigate whether career effects can be validated. We employ...

In this paper, we propose a novel optimization model for portfolio selection that integrates the classical mean-variance criterion with a second-order Tsallis entropy term. This approach enables a trade-off between expected return, risk, and diversification, extending Markowitz's theory to...

This paper uses a statistical test based on entropy theory to propose a new way to distinguish between interdependence, contagion, and the decoupling hypotheses in the context of shock transmission and spillover. Applying the proposed approach, the three hypotheses are examined when measuring...

For the last 50 years or so, the efficient market hypothesis (EMH) has been the central pillar of economic thought and the building block of portfolio theory. However, the validity of the EMH still remains controversial, and the methods of testing for market efficiency have been criticised. This...

Sustainable growth is a prerequisite for high-quality development, and inclusive green growth is regarded as an important way to realize sustainable growth. This paper constructs a tourism inclusive green growth index (IGGI) system based on the 2018 Asian Development Bank IGGI. Using Shandong...

Job training is widely regarded as crucial for protecting workers from automation, yet there is a lack of empirical evidence to support this belief. Using internationally harmonized data from over 90,000 workers across 37 industrialized countries, we construct an individual-level measure of...

We present a geometric approach to the finite Rational Inattention (RI) model, recasting it as a convex optimization problem with reduced dimensionality that is well suited to numerical methods. We provide an algorithm that outperforms existing RI computation techniques in terms of both speed...

Bayes' theorem incorporates distinct types of information through the likelihood and prior. Direct observations of state variables enter the likelihood and modify posterior probabilities through consistent updating. Information in terms of expected values of state variables modify posterior...