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Medium- to long-term nickel price forecasting using LSTM and GRU networks
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Medium- to long-term nickel price forecasting using LSTM and GRU networks (2022)Medium- to long-term nickel price forecas…Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees (2021)Forecasting Nickel futures pr…Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Non-ferrous metals price fore…Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm (2019)Forecasting gold price fluctu…Decoupling economic growth from carbon emissions growth in the United States: The role of research and development (2019)Decoupling economic growth fr…Energy investment needs for fulfilling the Paris Agreement and achieving the Sustainable Development Goals (2018)Energy investment needs for f…Structural breaks and volatility forecasting in the copper futures market (2017)Structural breaks and volatil…Time series forecasting for nonlinear and non-stationary processes: a review and comparative study (2015)Time series forecasting for n…The role of outliers and oil price shocks on volatility of metal prices (2015)The role of outliers and oil …PerformanceAnalytics: Econometric Tools for Performance and Risk Analysis (2007)PerformanceAnalytics: Econome…An assessment of time series methods in metal price forecasting (2005)An assessment of time series …Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps (2025)Navigating AI-Driven Financia…Advanced time series forecasting for commodities: Insights from the FEDformer model (2025)Advanced time series forecast…Time series forecasting of stock market indices based on DLWR-LSTM model (2024)Time series forecasting of st…The power of mineral: Shock of the global supply chain from resource nationalism (2024)The power of mineral: Shock o…A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach (2022)A Novel Hybrid Price Predicti…Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle (1989)Machine Learning for Quantitative Finance Applications: A Survey (2019)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Theoretical approaches to AI in supply chain optimization: Pathways to efficiency and resilience (2024)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Testing for a Unit Root in Time Series Regression (1988)Modeling and forecasting the volatility of carbon emission market: The role of outliers, time-varying jumps and oil price risk (2017)Oil price shocks and the return and volatility spillover between industrial and precious metals (2021)Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis (2022)Comparing Predictive Accuracy (1994)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)Modeling and Forecasting Realized Volatility (2003)Asymmetric impacts of oil price uncertainty on Chinese stock returns under different market conditions: Evidence from oil volatility index (2018)Asymmetric volatility spillovers between oil and stock markets: Evidence from China and the United States (2019)Geopolitical risk uncertainty and oil future volatility: Evidence from MIDAS models (2019)Paris Agreement climate proposals need a boost to keep warming well below 2 °C (2016)The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview (2016)Transforming Our World: The 2030 Agenda for Sustainable Development (2018)A sustainable development pathway 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2001 (2005)The decomposition of energy-related carbon emission and its decoupling with economic growth in China (2014)Innovation for sustainability: The impact of R&D spending on CO2 emissions (2017)Heterogeneous effects of energy efficiency, oil price, environmental pressure, R&D investment, and policy on renewable energy -- evidence from the G20 countries (2020)Decomposition of carbon emission and its decoupling analysis and prediction with economic development: A case study of industrial sectors in Henan Province (2021)Assessing the influence of research and development, environmental policies, and green technology on ecological footprint for achieving environmental sustainability (2024)Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)A hybrid stock price index forecasting model based on variational mode 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(1971)Time Series Analysis: Forecasting and Control. (1978)A novel hybrid method for crude oil price forecasting (2015)A hybrid approach to forecasting futures prices with simultaneous consideration of optimality in ensemble feature selection and advanced artificial intelligence (2022)Effective machine learning model combination based on selective ensemble strategy for time series forecasting (2022)A blending ensemble learning model for crude oil price forecasting (2024)Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory (2019)Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms (2019)Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility (2019)Estimation and decomposition of downside risk for portfolios with non-normal returns (2008)Asset Allocation with Conditional Value-at-Risk Budgets (2012)Machine learning-aided engineering services' cost overruns prediction in high-rise residential building projects: Application of random forest regression (2022)
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References

  • 2018Energy investment needs for fulfilling the Paris Agreement and achieving the Sustainable Development Goals631 cited
  • 2007PerformanceAnalytics: Econometric Tools for Performance and Risk Analysis388 cited
  • 2015Time series forecasting for nonlinear and non-stationary processes: a review and comparative study287 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2019Forecasting gold price fluctuations using improved multilayer perceptron neural network and whale optimization algorithm189 cited
  • 2017Structural breaks and volatility forecasting in the copper futures market151 cited
  • 2019Decoupling economic growth from carbon emissions growth in the United States: The role of research and development151 cited
  • 2005An assessment of time series methods in metal price forecasting121 cited
  • 2015The role of outliers and oil price shocks on volatility of metal prices106 cited
  • 2021Forecasting Nickel futures price based on the empirical wavelet transform and gradient boosting decision trees94 cited

Cited by

  • 2024The power of mineral: Shock of the global supply chain from resource nationalism38 cited
  • 2025Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps33 cited
  • 2022A Novel Hybrid Price Prediction Model for Multimodal Carbon Emission Trading Market Based on CEEMDAN Algorithm and Window-Based XGBoost Approach

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31 cited
  • 2024Time series forecasting of stock market indices based on DLWR-LSTM model29 cited
  • 2025Advanced time series forecasting for commodities: Insights from the FEDformer model29 cited