ABSTRACT While ESG (environmental, social, and governance) is emphasized among listed companies for their stakeholders and ESG disclosures, ESG engagement among unlisted companies has been rarely examined due to data limitations. This is particularly problematic for the agri‐food industry that has significant impacts on the environment and consists ...
Ying Wang, Satoru Shimokawa
wiley +1 more source
Time-consistent robust investment-reinsurance strategy with common shock dependence under CEV model. [PDF]
Li L, Qiu Z.
europepmc +1 more source
Return and Volatility Spillovers Among Major Cotton Markets
ABSTRACT This study explores return and volatility transmission among major cotton markets. Several events have disrupted cotton supply and demand in recent years, leading to heightened price volatility and significant shifts in market interconnections.
Susmitha Kalli+3 more
wiley +1 more source
Portfolio Model Considering Normal Uncertain Preference Relations of Investors. [PDF]
Zhou Y, Yan C, Wang X.
europepmc +1 more source
Two Trees: Asset Price Dynamics Induced by Market Clearing
John H. Cochrane+2 more
openalex +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai+8 more
wiley +1 more source
Baltic dry index forecast using financial market data: Machine learning methods and SHAP explanations. [PDF]
Kim HS, Kim DH, Choi SY.
europepmc +1 more source
Exact arbitrage, well-diversified portfolios and asset pricing in large markets
M. Ali Khan, Yeneng Sun
openalex +2 more sources
Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley +1 more source
Can the establishment of free trade zones promote the internationalization of enterprises? - Evidence from micro-enterprise level. [PDF]
Zhang J, Wang H.
europepmc +1 more source