Results 51 to 60 of about 9,896 (259)

Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley   +1 more source

Bayesian bivariate quantile regression

Statistical Modelling, 2014
Quantile regression (QR) has become a widely used tool to study the impact of covariates on quantiles of a response distribution. QR provides a detailed description of the conditional response when considering a dense set of quantiles, without assuming a closed form for its distribution.
Waldmann, Elisabeth, Kneib, Thomas
openaire   +3 more sources

Climate Stress Testing on European SME Securitised Loans Under Climate Mitigation Scenarios

Business Strategy and the Environment, EarlyView.
ABSTRACT Assessing the future impact of climate risks on the probability of default (PD) of small and medium enterprises (SMEs) is challenging due to limited disclosure, policy uncertainty and exposure to physical risks. This paper addresses this gap by integrating macroeconomic variables from the Network for Greening the Financial System (NGFS ...
Luca Zanin, Raffaella Calabrese
wiley   +1 more source

Use of Bayesian, Lasso Binary Quantile Regression to Identify Suitable Habitat for Tiger Prey Species in Thap Lan National Park, Eastern Thailand

Environment and Natural Resources Journal, 2022
A Bayesian approach was used to develop binary quantile regression models featuring the lasso penalty. The models afford the advantages of all quantile regression models, such as robustness and detailed insights into covariate effects; they also handle ...
Paanwaris Paansri, Warong Suksavate, Aingorn Chaiyes, Prawatsart Chanteap, Prateep Duengkae   +4 more
doaj   +1 more source

Forecasting Airport Passenger Flows Using Mobile Network Data: Insights for Sustainable Mobility and Strategic Infrastructure Planning

Business Strategy and the Environment, EarlyView.
ABSTRACT Airports are strategic and environmental nodes in global transport systems where rapid passenger growth challenges capacity, sustainability, and resilience. This study uses anonymized mobile network data to analyze and forecast passenger dynamics at Lisbon Airport, Portugal, linking data‐driven insights to sustainable mobility and ...
João Carlos Ferreira, Carlos M. P. Sousa, Marco Esperança, Babak Taheri   +3 more
wiley   +1 more source

Supply Chain Sustainability and Human Capital: A Multilevel Analysis

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines how corporate sustainability practices diffuse across global supply chains and how national contextual capacity shapes this process. Drawing on stakeholder and institutional perspectives, we conceptualize ESG transmission as relational and potentially asymmetric between customers and suppliers.
Jun Xie, Seifu Okumoto, Kenichi Yoshida, Shuning Chen, Alexander Ryota Keeley, Shunsuke Managi   +5 more
wiley   +1 more source

COMPARISON BETWEEN BAYESIAN QUANTILE REGRESSION AND BAYESIAN LASSO QUANTILE REGRESSION FOR MODELING POVERTY LINE WITH PRESENCE OF HETEROSCEDASTICITY IN WEST SUMATRA

Barekeng
The poverty line is the threshold income level below which a person or household is considered to be living in poverty. The poverty line is a representation of the minimum rupiah amount needed to meet the minimum basic food needs equivalent to 2100 ...
Lilis Harianti Hasibuan, Ferra Yanuar, Dodi Devianto, Maiyastri Maiyastri, Rudiyanto Rudiyanto   +4 more
doaj   +1 more source

Bayesian Estimation of Archimedean Copula-Based SUR Quantile Models

Complexity, 2020
We propose a high-dimensional copula to model the dependence structure of the seemingly unrelated quantile regression. As the conventional model faces with the strong assumption of the multivariate normal distribution and the linear dependence structure,
Nachatchapong Kaewsompong, Paravee Maneejuk, Woraphon Yamaka   +2 more
doaj   +1 more source

Copula‐based joint modelling of emergency department visits with time‐varying dependence

Canadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Use of regularized quantile regression to predict the genetic merit of pigs for asymmetric carcass traits [PDF]

Pesquisa Agropecuária Brasileira, 2018
: The objective of this work was to evaluate the use of regularized quantile regression (RQR) to predict the genetic merit of pigs for asymmetric carcass traits, compared with the Bayesian lasso (Blasso) method.
Patricia Mendes dos Santos, Ana Carolina Campana Nascimento, Moysés Nascimento, Fabyano Fonseca e Silva, Camila Ferreira Azevedo, Rodrigo Reis Mota, Simone Eliza Facioni Guimarães, Paulo Sávio Lopes   +7 more
doaj   +1 more source