We propose a new time series model aimed at forecasting crude oil prices. The proposed specification is an unobserved components model with an asymmetric cyclical component. The asymmetric cycle is defined as a sine-cosine wave where the frequency of the cycle depends on past oil price observations. We show that oil price forecasts improve significantly when this asymmetry is explicitly modelled.

This paper analyzes the response of international oil producers to demand-induced changes in the real price of oil during 1975–2011. The goal is to disentangle fluctuations in OPEC and non-OPEC production and to derive consistent estimates of the short-run price elasticity of crude oil supply at the country level. I find that oil producers hardly respond to demand shocks within the same month, ...

Crude oil is the mixture of petroleum liquids and gases that extracted from ground by wells. It an important source fuel used in production several products. Given role price crude plays, it becomes extremely for managers to predict future while making operational decisions such as: when purchase material, how much produce what modes transportation use. The goal this paper develop a forecasting...

The Hubbert model assumes that the worldwide production of crude oil will follow a bell-shaped curve. Oil prices are expected to increase, or even to spike up, at or after the production peak. However, the Hubbert model provides no description of price trends. We also lack historical data that can be used as a guide, since so far there have been no cases of a complete, worldwide depletion of a ...

This study explores the relationship between energy and food nutrition prices through calorie, fat, protein, crude oil price links in case of eight net importing (U.S., Korea, China, Japan) exporting (Canada, Saudi Arabia, United Arab Emirate, Iran) countries. For this purpose, we use a Panel-VAR model with data for 1974–2018 period. The results show that effects shocks on are different two gro...

a r t i c l e i n f o JEL classification: C52 C53 Q47 Keywords: Oil prices Futures markets Stochastic processes Kalman filter Forecasting Stochastic process models of commodity prices are important inputs in energy investment evaluation and planning problems. In this paper, we focus on modeling and forecasting the long-term price level, since it is the dominant factor in many such applications....