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....
We present a five-year revision of an empirical study started in 2007. Seven years ago, we found two...
Relying on the cost of carry model, we investigate the long-run relationship between spot and future...
This paper discusses the usefulness of the long term memory property in price prediction. In partic...
We employ an unobserved components model to disentangle the long-term trend from cyclical movements ...
We employ an unobserved components model to disentangle the long-term trend from cyclical movements ...
In this paper, we employ an unobserved components model to disentangle the long-term trend from cycl...
In this paper, we employ an unobserved components model to disentangle the long-term trend from cycl...
In this paper, we employ an unobserved components model to disentangle the long-term trend from cycl...
Crude oil prices have been fluctuating over time and by a large range. It is the disorganization of ...
The recent fluctuations in the oil prices have intensified the discussion on the dynamics and causes...
Crude oil prices have been fluctuating over time and by a large range. It is the disorganization of ...
This paper discusses the usefulness of the long term memory property in price prediction. In particu...
This paper discusses the usefulness of the long term memory property in price prediction. In particu...
We present a five-year revision of an empirical study started in 2007. Seven years ago, we found two...
This paper discusses the usefulness of the long term memory property in price prediction. In particu...
We present a five-year revision of an empirical study started in 2007. Seven years ago, we found two...
Relying on the cost of carry model, we investigate the long-run relationship between spot and future...
This paper discusses the usefulness of the long term memory property in price prediction. In partic...
We employ an unobserved components model to disentangle the long-term trend from cyclical movements ...
We employ an unobserved components model to disentangle the long-term trend from cyclical movements ...
In this paper, we employ an unobserved components model to disentangle the long-term trend from cycl...
In this paper, we employ an unobserved components model to disentangle the long-term trend from cycl...
In this paper, we employ an unobserved components model to disentangle the long-term trend from cycl...
Crude oil prices have been fluctuating over time and by a large range. It is the disorganization of ...
The recent fluctuations in the oil prices have intensified the discussion on the dynamics and causes...
Crude oil prices have been fluctuating over time and by a large range. It is the disorganization of ...
This paper discusses the usefulness of the long term memory property in price prediction. In particu...
This paper discusses the usefulness of the long term memory property in price prediction. In particu...
We present a five-year revision of an empirical study started in 2007. Seven years ago, we found two...
This paper discusses the usefulness of the long term memory property in price prediction. In particu...
We present a five-year revision of an empirical study started in 2007. Seven years ago, we found two...
Relying on the cost of carry model, we investigate the long-run relationship between spot and future...
This paper discusses the usefulness of the long term memory property in price prediction. In partic...