Results 101 to 110 of about 126,303 (310)
Bivariate Income Distributions for AssessingInequality and Poverty Under Dependent Samples [PDF]
As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the ...
Duangkamon Chotikapanich +2 more
core
Bivariate Exponentiated Modified Weibull Extension Distribution
In this paper, a new bivariate exponentiated modified Weibull extension distribution (BEMWE) is introduced. This model is of Marshall-Olkin type. The marginals of the new bivariate distribution have exponentiated modified Weibull extension distribution ...
El-Gohary, A. +2 more
core +1 more source
ABSTRACT This study examines how stakeholder engagement, conceptualized as a boundary‐spanning organizational capability, interacts with firms' decarbonization strategies, in relation to climate action commitments (CACs) in voluntary initiatives.
David Tobón Orozco, Jose Pla‐Barber
wiley +1 more source
In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several
Antonio Alegre Escolano +1 more
core
The Impact of Green Innovation and Green Finance on Corporate ESG Performance
ABSTRACT Amid the transition towards a low‐carbon economy and the pursuit of sustainable development goals, ESG performance has become a key indicator of long‐term corporate sustainability. Drawing on data from Chinese A‐share listed companies between 2012 and 2022, this study examines how green innovation and green finance affect corporate ESG ...
Zhaoke Feng, Chaminda Wijethilake
wiley +1 more source
New Bivariate Copulas via Lomax Distribution Generated Distortions
We develop a framework for creating distortion functions that are used to construct new bivariate copulas. It is achieved by transforming non-negative random variables with Lomax-related distributions.
Fadal Abdullah Ali Aldhufairi +1 more
doaj +1 more source
Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market [PDF]
This paper develops the method for pricing bivariate contingent claims under General Autoregressive Conditionally Heteroskedastic (GARCH) process. In order to provide a general framework being able to accommodate skewness, leptokurtosis, fat tails as ...
Dominique Guegan, Jing Zhang
core
Carbon Footprint of Bank Loans: Opportunities and Risk Implications in the Banking Industry
ABSTRACT This study examines whether the carbon footprint of bank loan portfolios influences bank stability, profitability and cost efficiency and whether regulatory quality moderates these relationships. Using a balanced panel of 33 countries from 2005 to 2018, the analysis combines banking‐sector indicators from the World Bank Global Financial ...
Honglei Wang +5 more
wiley +1 more source
ABSTRACT In an era of rising geopolitical tensions and environmental instability, corporate political activities have become increasingly intertwined with ethical challenges and sustainability requirements. This study investigates the influence of environmental dynamics and corporate ethical responsibility on interorganizational conflict and ...
David Yulong Liu +4 more
wiley +1 more source
STUDI PERBANDINGAN ANTARA ALGORITMA BIVARIATE MARGINAL DISTRIBUTION DENGAN ALGORITMA GENETIKA
Bivariate Marginal Distribution Algorithm is extended from Estimation of Distribution Algorithm. This heuristic algorithm proposes the new approach for recombination of generate new individual that without crossover and mutation process such as genetic ...
Chastine Fatichah +2 more
doaj

