@article{94ea9b58139c495282387ca6003737ec,
title = "Small trends and big cycles in crude oil prices",
abstract = "We employ an unobserved components model to disentangle the long-term trend from cyclical movements in the price of internationally traded crude oil using data from 1861 to 2010. The in-sample estimation of the model identifies a deterministic quadratic trend and two types of cycles, with the short cycle having a period of 6 years and the long cycle of 29 years. Compared to the large amplitude of the cycles, the growth rate of the long-term trend is small. The out-of-sample forecasting performance of various competing models is compared to that of a {"}no change{"} random walk forecast. While the random walk forecast tends to be the most accurate at shorter horizons, it is outperformed by the trend-cycle models at horizons longer than one year. The results provide evidence of predictability in the price of crude oil at long horizons. ",
keywords = "Cycle, Forecast, Oil price, Trend, Unobserved components model",
author = "Xiaoyi Mu and Haichun Ye",
year = "2015",
month = jan,
day = "1",
doi = "10.5547/01956574.36.1.3",
language = "English",
volume = "36",
pages = "49--72",
journal = "Energy Journal",
issn = "0195-6574",
publisher = "International Association for Energy Economics",
number = "1",
}