Results 91 to 100 of about 13,855,951 (296)
ABSTRACT ESG ratings, and in particular environmental scores (E‐scores), are becoming increasingly relevant for financial stability and capital allocation decisions. This paper investigates the relationship between corporate environmental performance and market risk, as measured through value at risk (VaR) and expected shortfall (ES), the key metrics ...
Matilda Shini +3 more
wiley +1 more source
The timing of angiosperm origin and diversification is crucial to understand the evolution of terrestrial ecosystems as we know them today. The fossil record and relaxed molecular clocks provide substantially different estimates of the time in which ...
Susana Magallón
doaj +1 more source
When Does SDG Adoption Increase ESG Risk? The Mediating Role of Risk Management
ABSTRACT Corporate engagement with the United Nations' Sustainable Development Goals (SDGs) has expanded rapidly, yet its implications for firms' environmental, social and governance (ESG) risk remain insufficiently understood. Prior research has focused on the performance outcomes of SDG adoption while largely overlooking its potential to generate ESG
Francisco J. López‐Arceiz +1 more
wiley +1 more source
On valid descriptive inference from non-probability sample
We examine the conditions under which descriptive inference can be based directly on the observed distribution in a non-probability sample, under both the super-population and quasi-randomisation modelling approaches.
Li-Chun Zhang
doaj +1 more source
Identifying the sources of model misspecification
In this paper we propose an empirical method for detecting and identifying misspecification in structural economic models. Our approach formalizes the common practice of adding "shocks" in the model, and identifies potential misspecification via forecast
Kuo, Chun-Hung +2 more
core
ABSTRACT Amid growing environmental pressures and sustainability challenges, understanding how institutional reforms enhance firms' ability to cope with green‐related disruptions is of substantial importance. Exploiting China's Supply Chain Innovation and Application Pilot Cities as a quasi‐natural experiment, this study investigates the impact of ...
Jiaxin Wang, Jiacheng Liu
wiley +1 more source
On the Model-Misspecification in Reinforcement Learning [PDF]
The success of reinforcement learning (RL) crucially depends on effective function approximation when dealing with complex ground-truth models. Existing sample-efficient RL algorithms primarily employ three approaches to function approximation: policy ...
Yang, Lin, Li, Yunfan
core +1 more source
ABSTRACT This study investigated the role of career future time perspective as a psychological resource in fostering students’ well‐being within the theoretical framework of Career Construction Theory and the Life Design paradigm. Specifically, we examined the extent to which career future time perspective predicts life satisfaction and academic ...
Andrea Zammitti +3 more
wiley +1 more source
Uncertainty quantification for misspecified machine learned interatomic potentials
The use of high-dimensional regression techniques from machine learning has significantly improved the quantitative accuracy of interatomic potentials. Atomic simulations can now plausibly target quantitative predictions in a variety of settings, which ...
Danny Perez +3 more
doaj +1 more source
Variational Bayes under Model Misspecification
Variational Bayes (VB) is a scalable alternative to Markov chain Monte Carlo (MCMC) for Bayesian posterior inference. Though popular, VB comes with few theoretical guarantees, most of which focus on well-specified models. However, models are rarely well-specified in practice. In this work, we study VB under model misspecification.
Yixin Wang 0002, David M. Blei
openaire +3 more sources

