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Empirical Analysis of ARCH Family Models on Oil Price Fluctuations
School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China
- 1 School of Mathematics and Statistics, Qinghai Nationalities University, Xining, China
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Abstract
This paper selects the daily data of national oil prices from January 2, 2014 to February 28, 2019, establishes an ARMA (2, 0) model, and tests its residuals for ARCH effects. Finally, the TARCH (1, 1) model is determined to quantitatively analyze the volatility of the crude oil market.
KeywordsOil PriceARMA Family ModelLeverage Effect
- Cheng, L.Y. and Li, J.K. (2018) Passive Differentiation of International Oil Prices to Economic Passion and Multi-Spot Impact—Testing Based on TVP-VAR Model. Systems Engineering, No. 9, 101-110.
- Wu, M.Q. (2018) Research on the Asymmetric Effect of the Fluctuation of International Crude Oil Price on China’s Output. Jiangxi University of Finance and Economics, No. 1, 1-46.
- Zhou, Y. (2017) Application of ARIMA Model in Forecasting and Analyzing Oil Price. Northern Economy and Trade, No. 8, 23-24.
- Shen, X.F. (2014) Analysis of Influencing Factors of International Crude Oil Price Fluctuations. Knowledge Economy, No. 7, 71-72.
- Sun, Y.R. (2016) Econometric Analysis of the Impact of Economic Growth on Oil Demand and Oil Prices. Modern Economic Information, No. 8, 364.
- Gao, T.M. (2009) Methods and Models of Econometric Analysis-EViews Application and Example. 2nd Edition, Tsinghua University Press, Beijing.
- Wang, Z.H.L. (2010) Applied Time Series Analysis. China Statistics Press, Beijing.