A wavelet analysis of the relationship between oil and natural gas prices

2019 ◽  
Vol 60 ◽  
pp. 118-124 ◽  
Author(s):  
Aviral Kumar Tiwari ◽  
Zinnia Mukherjee ◽  
Rangan Gupta ◽  
Mehmet Balcilar
2018 ◽  
Vol 7 (4.34) ◽  
pp. 118
Author(s):  
Nur Surayya Mohd Saudi ◽  
Wong Hock Tsen ◽  
Abdul Latif Harun ◽  
Zailin Zainal Ariffin ◽  
Nur Zahidah Syafii ◽  
...  

This study has investigated the relationship between the changes in oil and natural gas prices on the Malaysian economic sectors. Four economic sectors were selected namely manufacturing, services, agriculture, and mining. However, there was less study conducted at the sector level. Hence, the goal of this paper is to explore the impact of oil and gas prices on economic sectors GDP. This study has conducted econometrics modelling based on the ARDL bound testing with the spanning time series data from year 1987 to 2017. The empirical findings revealed that the relationship between the oil and natural gas prices in the manufacturing and services sector is negative, while the agriculture sector showed a positive relationship, and the mining sector showed no relationship. The empirical findings concluded that the manufacturing and services sectors that consumed more energy are dependent on the price changes. Meanwhile, the agriculture sector is a highly subsidised sector which has a positive relationship with energy prices. In the policy recommendation, Malaysia has to apply the energy pricing policy by offering energy subsidy to the high energy consumed sectors. Finally, Malaysia should develop policies that can diversify its energy resources and increase the shares of renewable energy sources. 


Author(s):  
Uğur Uzun ◽  
Zafer Adalı

In this chapter, the authors aim to investigate the association between the primary energy sources' prices involving oil and natural gas and sectors indices operating the Turkey stock market for the period covering 2012M1-2021M3. Regarding energy price indicators, Brent oil and natural gas real-time future prices are preferred in the models, and BIST Industrials (XUSIN), BIST Chem-Petrol Plastic (XKMYA), and BIST Electricity (XELKT) indices are used as financial performance indicators. Fourier unit root tests improved by Becker et al. and Fourier co-integration tests improved by Tsong et al. are employed to investigate the relationship between considered variables. As a result of the models, it is found that the energy prices and financial performance index do not move together in the long run; in other words, change in oil and natural gas prices seem not to have an impact on the sector indexes.


Author(s):  
Mustafa Uysal ◽  
Zafer Adalı

This chapter determines whether there is a long-run relationship among oil, copper, natural gas, export figures and import figures, and BIST 100. Within this context, the study employs monthly periods from January 2006 to June 2019. ADF, Fourier ADF, and Banerjee Cointegration Test were applied. Banerjee Cointegration Test revealed that copper, oil, and natural gas and import figures move together in the long run but the existence of the long-run relationship between the selected inputs and export figures and BIST 100 has not been found. This evidence can be interpreted as the change in oil, copper, and natural gas may influence the amount of Turkish import figures.


Author(s):  
L. Stajic ◽  
B. Đorđević ◽  
S. Ilić ◽  
D. Brkić

The paper examines the primary drivers and factors influencing the volatility of natural gas prices in the world from January 2007 to July 2020. In addition to the narrow dependence between crude oil and natural gas prices, the influence of renewable energy production and coal production on the price of natural gas has been studied. For that purpose, the method of multiple linear regression was used. The results show that the volatility of natural gas prices significantly depends on the type of the shock in the natural gas market, and that the total production of energy from renewable sources, production of coal and natural gas and the price of crude oil have a significant impact on the price of gas.


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