Platinum and palladium price forecasting through neural networks

To many commodity market participants, forecasts of price series represent a critical task. In this work, nonlinear autoregressive neural network models' potential is explored for forecasting daily prices series of platinum and palladium over about a fifty-year period. For this purpose, one hun...

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Vydané v:	Communications in statistics. Simulation and computation Ročník 54; číslo 8; s. 2959 - 2973
Hlavní autori:	Xu, Xiaojie, Zhang, Yun
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis 03.08.2025 Taylor & Francis Ltd
Predmet:	Commodities Forecasting Machine learning Neural network Neural networks Palladium Platinum Policy analysis Price forecasting Pricing Time series
ISSN:	0361-0918, 1532-4141
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