DEVELOPMENT OF MATHEMATICAL MODEL PARAMETERS OF THE FORECAST OIL PRICES

被引：0

作者：

Linnik, Y. N. ^{[1
]}

Linnik, V. Y. ^{[1
]}

Zhabin, A. B. ^{[2
]}

Kaverin, A. A. ^{[3
]}

Sozaeva, D. A. ^{[1
]}

机构：

[1] State Univ Management, Moscow, Russia

[2] Tula State Univ, Tula, Russia

[3] Open Soc NK Rosneft, Moscow, Russia

来源：

PROCEEDINGS OF THE TULA STATES UNIVERSITY-SCIENCES OF EARTH | 2016年 / 1卷

关键词：

oil; price; forecasting; econometric model; time series model;

D O I：

暂无

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The article deals with issues related to the development of econometric models to predict the price of oil brand "Urals". The aim of the research is the development of econometric models to predict oil prices in the short term. The object of research is the oil industry, because the rest of the energy prices (gas, coal) are linked to the market prices of oil. The subject of research is the approaches used in the development of econometric models to predict the cost of oil. As a result, research has been developed complex econometric models to predict the cost of oil, obtained statistical accuracy metrics developed econometric models to predict and forecast values determined in oil prices in the period up to 2016.

引用

页码：196 / 204

页数：9