Results 171 to 180 of about 2,542,650 (299)
Predicting extreme VaR: Nonparametric quantile regression with refinements from extreme value theory [PDF]
This paper studies the performance of nonparametric quantile regression as a tool to predict Value at Risk (VaR). The approach is flexible as it requires no assumptions on the form of return distributions.
Julia Schaumburg
core
ABSTRACT Sustainable governance depends on the joint functioning of institutional quality, fiscal discipline, environmental performance, and socioeconomic inclusion. However, many composite indicators rely on subjective weighting schemes and leave the structural role of governance underspecified.
Ömer Faruk Rençber +3 more
wiley +1 more source
ABSTRACT Achieving green transition has become an essential policy priority for which economies need to mobilize green finance, increase green innovation, and promote trade in environmentally sustainable goods and services. However, the effectiveness of policies for enhanced green development depends not only on their design but also on their ...
Sami Ur Rahman +3 more
wiley +1 more source
Efficient Estimation of an Additive Quantile Regression Model [PDF]
In this paper two kernel-based nonparametric estimators are proposed for estimating the components of an additive quantile regression model. The first estimator is a computationally convenient approach which can be viewed as a viable alternative to the ...
Zerom, Dawit +2 more
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When Nature Counts: Corporate Biodiversity Attention and Access to Bank Finance
ABSTRACT This paper investigates whether corporate attention to biodiversity influences firms' access to bank loans, an overlooked question in the emerging biodiversity–finance literature. Using a novel, text‐based measure constructed from 446 biodiversity‐related keywords and applied to Chinese A‐share listed firms from 2000 to 2023, we show that ...
Ruxiao Li +3 more
wiley +1 more source
Prevalence of Childhood Stunting and Its Associated Factors in Bangladesh: Quantile Regression Modeling Approach. [PDF]
Jahan I +4 more
europepmc +1 more source
Inference for extremal conditional quantile models, with an application to market and birthweight risks [PDF]
Quantile regression is an increasingly important empirical tool in economics and other sciences for analyzing the impact of a set of regressors on the conditional distribution of an outcome. Extremal quantile regression, or quantile regression applied to
Victor Chernozhukov +1 more
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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
Demand for International Reserves: A Quantile Regression Approach [PDF]
I estimate the determinants of the demand for international reserves using quantile regressions. Employing a dataset of 96 developing nations over the period of 1980-1996, I find considerable differences at different points of the conditional ...
Sula, Ozan
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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 +3 more
wiley +1 more source

