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Forecasting energy product prices
4 references·2 citing·24 second hop
Forecasting energy product prices (2006)Forecasting energy product pricesPrice relationships in the petroleum market: an analysis of crude oil and refined product prices (2003)Price relationships in the pe…Neural Networks in Business Forecasting (2003)Neural Networks in Business F…Neural network forecasts of Canadian stock returns using accounting ratios (2003)Neural network forecasts of C…What Can History Teach Us? A Retrospective Examination of Long-Term Energy Forecasts for the United States (2002)What Can History Teach Us? A …Scrap steel price predictions for southwest China via machine learning (2025)Scrap steel price predictions…Forecasting Scrap Steel Prices via Machine Learning for the Central Chinese Market (2025)Forecasting Scrap Steel Price…Financial statement analysis and the prediction of stock returns (1989)Artificial neural network models for forecasting and decision making (1994)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)25 years of time series forecasting (2006)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Co-Integration and Error Correction: Representation, Estimation, and Testing (1987)Statistical analysis of cointegration vectors (1988)MAXIMUM LIKELIHOOD ESTIMATION AND INFERENCE ON COINTEGRATION — WITH APPLICATIONS TO THE DEMAND FOR MONEY (1990)Asymmetry in retail gasoline and crude oil price movements in the United States: An application of hidden cointegration technique (2009)Financial modelling, risk management of energy instruments and the role of cryptocurrencies (2020)Tail Risk Connectedness in the Refined Petroleum Market: A First Look at the Impact of the COVID Pandemic (2021)Judgment under Uncertainty: Heuristics and Biases (1974)Judgment under Uncertainty: Heuristics and Biases (1975)Choices, values, and frames. (1984)Investment Decision Making under Deep Uncertainty - Application to Climate Change (2012)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Exploring the possibility space: taking stock of the diverse capabilities and gaps in integrated assessment models (2021)A test for independence based on the correlation dimension (1996)Chapter 4 Forecast Combinations (2006)Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series (2019)The application of neural networks to forecast fuzzy time series (2005)Evaluating and forecasting banking crises through neural network models: An application for Turkish banking sector (2006)Neuro-Based Artificial Intelligence Model for Loan Decisions (2010)
this work references cited by second hop

References

  • 2002What Can History Teach Us? A Retrospective Examination of Long-Term Energy Forecasts for the United States256 cited
  • 2003Neural network forecasts of Canadian stock returns using accounting ratios182 cited
  • 2003Price relationships in the petroleum market: an analysis of crude oil and refined product prices166 cited
  • 2003Neural Networks in Business Forecasting124 cited

Cited by

  • 2025Scrap steel price predictions for southwest China via machine learning26 cited
  • 2025Forecasting Scrap Steel Prices via Machine Learning for the Central Chinese Market26 cited

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