Improving Coal Commodity Stock Price Forecasting Using Combined Linear Models via Artificial Neural Network
Author:
Affiliation:
1. Institut Teknologi Kalimantan,Department of Statistics,Balikpapan,Indonesia
2. Institut Teknologi Kalimantan,Department of Actuarial Science,Balikpapan,Indonesia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10347564/10348180/10348343.pdf?arnumber=10348343
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1. The outbreak of COVID‐19 pandemic and its impact on stock market volatility: Evidence from a worst‐affected economy
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3. The impact of the Russia-Ukraine conflict on energy firms: A capital market perspective
4. Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach
5. Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory
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