scholarly journals Can Crude Oil Futures Predict Sport Retail Unleaded Gasoline Prices?

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.

2021 ◽  
pp. 105743
Author(s):  
Sofronis Clerides ◽  
Styliani-Iris Krokida ◽  
Neophytos Lambertides ◽  
Dimitris Tsouknidis

2019 ◽  
Vol 4 (2) ◽  
pp. 97-104
Author(s):  
Abubakar El-Sidig A.A Mahdi

Objective – The preceding three years (2014, 2015, and 2016) saw a drop in the price of oil which has impacted all parts of Omani macroeconomic life. This study aims to identify the association between oil price changes and aggregate household consumption expenditure in the Sultanate by analyzing the long term relationship between the variables of interest. Methodology/Technique – The (ARDL) Autoregressive Distributed Lag bound test of co-integration is used with 27 annual observations obtained between 1990 and 2016. Findings – The statistical results show that there is a long term, positive relationship between the two variables. Novelty – As Oman is heavily dependent on oil, any fluctuation in the price of oil will undoubtedly cause instability in the economy (macroeconomic variables) demonstrating the presence of a robust correlation between consumption and oil prices. The bound test of the ARDL approach demonstrates this relationship. This study is therefore useful for Muscat officials to identify ways to reduce the dependency on oil. Type of Paper: Empirical Keywords: Total Household Consumption Expenditure; Crude Oil Price; Autoregressive Distributed Lag (ARDL); Omani Economy. Reference to this paper should be made as follows: Abubakar El-Sidig A.A Mahdi. 2019. Impact of Crude Oil Price Changes on Household Consumption Expenditure in Oman (1990-2016), J. Bus. Econ. Review 4 (2): 97 – 104. https://doi.org/10.35609/jber.2019.4.2(4) JEL Classification: D1, D13, D19, E30.


1997 ◽  
Vol 112 (1) ◽  
pp. 305-339 ◽  
Author(s):  
S. Borenstein ◽  
A. C. Cameron ◽  
R. Gilbert

2021 ◽  
Vol 14 ◽  
pp. 315-327
Author(s):  
Peihang Lin ◽  
Xiaoai Peng ◽  
Qianye Chen ◽  
Hanghao Jiang

In today's new world situation, the consumption structure of energy is constantly changing. All countries attach importance to the use of new energy, vigorously promoting the development of new energy-related industries.Traditional energy and new energy are interchangeable, so there is a complex relationship between crude oil futures market and new energy stock market. China, as an economy with strong energy demand and high dependence on oil, will be affected by changes in oil futures prices. America's new energy policy has two striking sides. On the one hand, due to the lack of consensus, the US has so far failed to come up with new energy development plans and targets at the national level. On the other hand, a series of supportive policies launched by the federal and local governments have enabled the U.S. wind and solar industries to maintain a high growth rate in recent years. In view of this, the research takes WTI crude oil price, Zhongzheng New energy Index and China crude oil price as the research object, analyzes the interaction among them by using VAR model and GARCH model, and predicts the volatility of crude oil price and new energy stock price.


Author(s):  
Alyta Shabrina Zusryn ◽  
Rizqi Umar Al Hashfi ◽  
Ananta Hagabean Nasution

Tujuan pada penelitian ini adalah untuk mengetahui faktor-faktor yang berpengaruh terhadap perkembangan sukuk korporasi di Indonesia. Data yang digunakan adalah data bulanan tahun 2013-2016 variabel makroekonomi, crude oil price, kredit perbankan konvensional, interest rate spread, aset perbankan syariah, outstanding obligasi korporasi indonesia, nilai kapitalisasi pasar saham syariah, dan standar deviasi Jakarta Interbank Offered Rate (JIBOR). Pada penelitian ini menggunakan analisis data time series yaitu Autoregressive Distributed Lag (ARDL) yang merupakan pengembangan dan melengkapi kelemahan dari analisis Vector Autoregresive (VAR). Penelitian ini menunjukkan bahwa terdapat pengaruh positif harga minyak mentah dunia, perkembangan obligasi korporasi, dan aset perbankan syariah terhadap perkembangan sukuk korporasi. Selain itu, kapitalisasi pasar saham syariah, interest rate spread, dan volatilitas suku bunga pasar berdampak negatif terhadap perkembangan sukuk korporasi. Hasil tersebut menunjukkan adanya peningkatan permintaan dan penawaran pada sukuk korporasi di Indonesia. Penelitian ini menemukan adanya hubungan komplementer pada obligasi korporasi dan perbankan syariah pada perkembangan sukuk korporasi sehingga diharapkan adanya sinergi dan koordinasi para pemangku kepentingan yaitu pemerintah, pelaku industri, perusahaan dan pihak-pihak terkait


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