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Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory

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  • Matyjaszek, Marta
  • Riesgo Fernández, Pedro
  • Krzemień, Alicja
  • Wodarski, Krzysztof
  • Fidalgo Valverde, Gregorio

Abstract

Price forecasting is a vital matter for mining investment decisions, as it represents the credibility of any financial outcome claimed by the feasibility studies presented to investors in financial markets. Most of these financial studies use forecasts from well-known providers of price assessments and market data that, ultimately, constitute a black box for the investors. This is why, to achieve credibility, user-friendly forecasting techniques through which the future price instability can be bounded are needed.

Suggested Citation

  • Matyjaszek, Marta & Riesgo Fernández, Pedro & Krzemień, Alicja & Wodarski, Krzysztof & Fidalgo Valverde, Gregorio, 2019. "Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory," Resources Policy, Elsevier, vol. 61(C), pages 283-292.
    • Handle: RePEc:eee:jrpoli:v:61:y:2019:i:c:p:283-292
    DOI: 10.1016/j.resourpol.2019.02.017
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