A5019805401- Market Dynamics and Volatility
- Energy, Environment, Economic Growth
- Complex Systems and Time Series Analysis
- Global Energy Security and Policy
- Financial Distress and Bankruptcy Prediction
Washington University in St. Louis
2025
Hebei GEO University
2023
This study explores the application of machine learning and sampling strategies in predicting credit risk for service industry listed companies, focusing on impact supply chain indicators across different levels. It addresses limitations existing methods by proposing a novel combination techniques to improve predictive accuracy. The research establishes comprehensive set financial indicators, performs feature selection using filter adversarial methods, applies various handle imbalanced...
Industrial and energy-related industries are major sources of carbon dioxide emissions, their interdependence, as reflected in the financial field, has attracted attention scholars. For purpose exploring evolutionary characteristics short-term dynamic correlation coefficient between EU futures price industrial indices, this paper selected settlement emission quota futures, MSCI energy I index on three dimensions, Dow Jones West Texas crude oil price, sample data. Using time-varying t-copula...
Rare earth is an important strategic mineral resource, and the study of causes stock price fluctuations rare listed companies their transmission can enable all parties in market to have a clearer understanding current relationships. In this study, quantitative causality analysis model complex network method are used analyze each link within industry chain relationship between regions from among industry. The main paths also given. It found that causal stocks has positive causation, negative...