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Forecasting of oil and gas stock market in major US
- 1 Faculty of Mathematical and Physical Sciences, University College London, Gower Street, London WC1E 6BT, United Kingdom
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Abstract
Oil and gas are two crucial resources in modern life and the development of technology. Investors are not only concerned about their own price, but their stock price is also an important part of formulating investment plans. This article will focus on the adjusted closing price since it consists of adjustments for splits, dividends, and capital gain distributions, which can demonstrate the situation of oil and gas in the stock market better. After the occurrence of COVID-19, the economic market of the whole world including the US. encountered great changes in many aspects. Thus, this article considered applying the model with the best performance from ARIMA, exponential smoothing, and Holt-Winters’ method to forecast the future adjusted closing prices of two large and representative companies in oil and gas from the US. According to the predicted results, the US oil and gas market is likely to experience a small but steady increase.
Keywords
Forecasting, ARIMA model, exponential smoothing, Holt-Winters’ method.
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Cite this article
Zuo,Z. (2024). Forecasting of oil and gas stock market in major US. Theoretical and Natural Science,42,36-45.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Mathematical Physics and Computational Simulation
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