Does crude oil futures price really help to predict spot oil price? New evidence from density forecasting

Author(s):  
Lan Bai ◽  
Xiafei Li ◽  
Yu Wei ◽  
Guiwu Wei
2012 ◽  
Author(s):  
Carl Chiarella ◽  
Boda Kang ◽  
Christina Nikitipoulos Sklibosios ◽  
Thuy Duong To

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhengwei Ma ◽  
Yuxin Yan ◽  
Ruotong Wu ◽  
Feixiao Li

In recent years, the rapid increase in CO2 concentration has accelerated global warming. As a result, sea levels rise, glaciers melt, extreme weather occurs, and species become extinct. As the world’s largest CO2 emission rights trading market, EU Emissions Trading System (EU-ETS) has reached 1.855 billion tons of quotas by 2019, influencing the development of the global carbon emission market. Crude oil, as one of the major fossil energy sources in the world, its price fluctuation is bound to affect the price of carbon emission rights. Therefore, this paper aims to reveal the correlation between crude oil futures prices and carbon emission rights futures prices by studying the price fluctuation. In this paper, the linkage between West Texas Intermediate (WTI) crude oil futures prices and European carbon futures prices was investigated. In addition, this paper selects continuous data of WTI crude oil futures prices and spot prices with European carbon futures prices from January 8, 2018 to November 27, 2020, and builds a smooth transformation regression (STR) model. The relationship between crude oil futures and carbon futures prices is studied in both forward and reversal linkage through empirical analysis. The results show that crude oil futures prices and carbon futures prices have a mutual effect on each other, and both linear and nonlinear correlations between the two prices exist. Based on the results of this research, some suggestions are provided.


2013 ◽  
Vol 40 ◽  
pp. 989-1000 ◽  
Author(s):  
Carl Chiarella ◽  
Boda Kang ◽  
Christina Sklibosios Nikitopoulos ◽  
Thuy-Duong Tô

1970 ◽  
Vol 26 (2) ◽  
pp. 191-210
Author(s):  
Vance Ginn ◽  
Ronald Gilbert

The motivation for this paper began with casual empiricism regarding thebrief distributed lag of retail gasoline prices behind crude oil futures. We developeda model consistent with our hypothesis and tested it with econometrics using statisticaldata that include the sharp decrease in crude oil price futures in late summer2008. We found that our model is a consistent and efficient estimator of the actualgasoline prices over most of our sample period. However, random shocks to gasolineprices, like Hurricane Ike in 2008, cause the model to have problems accuratelypredicting gas prices. We conclude that our estimated model and simulations providereasonable support for our hypothesis that crude oil price futures can predict spotretail unleaded gasoline prices.


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