Latest Research in Market Dynamics and Volatility
30 research papers · 2026 median publication year
Top Research Topics in Market Dynamics and Volatility
- Market Dynamics and Volatility — 5 papers
- Sustainable Finance and Green Bonds — 4 papers
- Agriculture, Land Use, Rural Development — 2 papers
- Climate Change Policy and Economics — 2 papers
- Agricultural risk and resilience — 2 papers
- Construction Project Management and Performance — 1 papers
- Agricultural Economics and Practices — 1 papers
- Computer Science and Game Theory — 1 papers
- Global trade and economics — 1 papers
- COVID-19 Pandemic Impacts — 1 papers
Highest-Cited Papers
- The Science Behind the Sugar-Price Rollercoaster: An Epistemological Blueprint for Industrial Sovereignty and Real-Asset Optionality
- The Science Behind the Sugar-Price Rollercoaster: An Epistemological Blueprint for Industrial Sovereignty and Real-Asset Optionality
- Forecasting Steel Reinforcement Bar Prices in Egypt Using ARDL: A Macroeconomic Leading Indicator Framework for Building Cost Management
- Performance Comparison of Auto-Regressive Moving Average (ARIMA) and Artificial Neural Networks (ANN) in Ginger Price and Output Forecasting in Nigeria (2021–2025)
- EU carbon pricing and clean energy markets: evidence from cross-quantilogram and multivariate time-varying quantile regression
- Synergizing Spatial and Temporal Dynamics for Carbon Price Forecasting: A Heterogeneous Ensemble Approach
- Modeling Downside Risks for China's Security Markets: Does Greenness Make Bonds a Safer Haven?
- Efficiently Restructuring Sovereign Debt via Arctic Auctions with Convex Costs
- A Dynamic Model of Crack Spreads
- Trends, Shocks and Predictions in the Price Development of Food-Grade Wheat
- Climate Risk and Real Estate Bond Pricing in China
- Explainable machine learning for agricultural supply chain price volatility risk screening
- Carbon Market Price Forecasting Using a Bidirectional Temporal Convolution Exogenous-Enhanced Time-Series Model
- Wholesale price forecasts via neural networks for soybeans and white wheat
- Forecasting global agricultural trade imbalances using a hybrid deep learning and gradient boosting framework
- Systemic risk and the green transition: Carbon-price transmission in a european emerging economy
- Climate Shocks and Unemployment Claims
- Electricity prices beyond the merit order: Structural shocks and asymmetric macroeconomic transmission in Denmark
- Climate risk in finance: Asset pricing, institutions and stability
- Symmetry Breaking in Agricultural Commodity Price Forecasting: An Econometrically Grounded Deep Learning Framework