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Strategic Implications of Mandatory ESG Assurance and Its Impact on Competitive Advantage: Evidence From European Market Reactions

Business Strategy and the Environment, EarlyView.
ABSTRACT The EU has recently introduced, for the first time, a market‐wide mandatory assurance requirement for sustainability reporting under the Corporate Sustainability Reporting Directive (CSRD). The directive mandates that affected firms obtain independent third‐party assurance for their ESG reports. This study examines the equity market's reaction
Zelalem Abay
wiley   +1 more source

Adaptive Fisher's method using weakly geometric grid for combining <i>p</i>-values with application to COVID-19 surveillance. [PDF]

J R Stat Soc Ser C Appl Stat
Fang Y, Ren Z, Tseng GC.
europepmc   +1 more source

Reply to correspondence on "The importance of data transformation in correlation analysis of FVIII and inhibitor titers in acquired hemophilia". [PDF]

Res Pract Thromb Haemost
Yu D, Liu W, Zhang L.
europepmc   +1 more source

Nonparametric Efficiency Analysis: A Multivariate Conditional Quantile Approach . [PDF]

Daouia, Abdelaati, Simar, Léopold
core  

Parametric and nonparametric propensity score weighting analysis with subgroup covariate balance. [PDF]

Stat Methods Med Res
Li Y, Kuo YF, Li L.
europepmc   +1 more source

A Statistically Grounded and Physics-Aware Vision Framework for Detecting Barely Visible Impact Damage (BVID) in Heterogeneous Polymer-Matrix Composites. [PDF]

Polymers (Basel)
Duran G.
europepmc   +1 more source

From data chaos to physically interpretable deterministic mapping. [PDF]

Nat Commun
Jia D, Li S, Zuo X, Shi H, Wang J, Zhou X.   +5 more
europepmc   +1 more source

Robust discovery of mutational signatures using power posteriors. [PDF]

PLoS Comput Biol
Xue C, Miller JW, Carter SL, Huggins JH.
europepmc   +1 more source

Nonparametric Bayesian robustness [PDF]

, 2010
A new, nonparametric, approach to Bayesian robustness is presented. Whereas many studies in Bayesian robustness have dealt with a parametric sampling distribution, considering classes of prior distributions on the parameters, here we assume that the sampling distribution comes from a Dirichlet process with a parameter = , with > 0 and being a ...
F Ruggeri
openaire   +1 more source

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Robust nonparametric derivative estimator

Communications in Statistics - Simulation and Computation, 2020
In this paper, a robust nonparametric derivative estimator is proposed to estimate the derivative function of nonparametric regression when the data contain noise and have curves.
Hamdy F. F. Mahmoud, Byung-Jun Kim, Inyoung Kim   +2 more
openaire   +2 more sources