A5042466172- Environmental Impact and Sustainability
- Complex Network Analysis Techniques
- Complex Systems and Time Series Analysis
- Market Dynamics and Volatility
- Energy, Environment, Economic Growth
- Extraction and Separation Processes
- Sustainability and Ecological Systems Analysis
- Economic and Technological Innovation
- Regional resilience and development
- Energy, Environment, and Transportation Policies
- Global Energy and Sustainability Research
- Supply Chain Resilience and Risk Management
- Computational Drug Discovery Methods
- FinTech, Crowdfunding, Digital Finance
- Ecosystem dynamics and resilience
- Banking stability, regulation, efficiency
- Economic Development and Digital Transformation
- Energy and Environment Impacts
- Recycling and Waste Management Techniques
- Sustainable Industrial Ecology
- Healthcare and Environmental Waste Management
- Global trade and economics
- Water Resources and Sustainability
- Stock Market Forecasting Methods
- Credit Risk and Financial Regulations
Shenzhen University
2020-2024
Korea University
2024
China University of Geosciences (Beijing)
2014-2023
Ministry of Natural Resources
2014-2023
Pennsylvania State University
2020
In the era of globalization, industries critical metals are organized through global supply chain. However, chains have been disrupted since 2020 by outbreak COVID-19 and a series geopolitical crises. To better address chain challenges metals, review is needed about sources, propagation, responses risks. Firstly, this provides an overview research progress in identifying risk sources assessing risks then proposes new framework, categorizing relevant factors into upstream risks, middle-stream...
Microscopic factors are the basis of macroscopic phenomena. We proposed a network analysis paradigm to study financial system from microstructure perspective. built cointegration model and Granger causality based on econometrics complex theory chose stock price time series real estate industry its upstream downstream industries as empirical sample data. Then, we analysed for understanding steady long-term equilibrium relationships identifying diffusion paths potential risks in system. The...
The crude oil futures market plays a critical role in energy finance. To gain greater investment return, scholars and traders use technical indicators when selecting trading strategies market. In this paper, the authors used moving average prices of with genetic algorithms to generate profitable rules. We defined individuals different combinations period lengths calculation methods as rules search for suitable periods appropriate methods. daily NYMEX from 1983 2013 evaluate select compared...