Research Article |
Analysis of the Price Change of the Azerbaijani Oil of Azeri Light, using the Monte-Carlo Method in the Conditions of Uncertainty
Author(s) : Nur-Mammadova Nigar
Publisher : FOREX Publication
Published : 16 August 2021
e-ISSN : 2347-4696
Page(s) : 287-292
Abstract
Purpose: This article examines the uncertain conditions of the oil industry in and post crisis period in Azerbaijan Republic in 2015-2017 and during COVID-19 in 2020.
Design/Methodology: Existing turmoil in the global economy and volatile oil prices affected the economies of the oil-producing countries. Such instability also affected the economy of Azerbaijan Republic and led to a decrease in its key economic indicators, which leads to apply specific methods for identifying risks and estimating its valuation.
Findings: The reasons of the sharp drop in oil and oil products demand have been analysed, using the Monte Carlo techniques and with its impact on Azerbaijan Republic as an example.
Practical implications: The author, compiling the forecast for the chosen methodology, clarified forecast for 2018 of oil price of Azerbaijani oil brand Azeri Light in an uncertain environment, and made forecast for coming years, based on these calculations.
Keywords: Oil
, Post-crisis oil industry
, COVID-19
, Forecast
, Monte Carlo method
JEL: C1 - Econometric and Statistical Methods and Methodology: General
, Q41 - Demand and Supply Prices
, F15 - Economic Integration (1)
, F31 - Foreign Exchange (1)
Nur-Mammadova Nigar, Department of “Economics and Management, Azerbaijan State Oil and Industry University, Azerbaijan ; Email: nurmammadovanigar@gmail.com
[1] https://www.stat.gov.az/news/macroeconomy.php?page=1
[2] Zhang, D., Hu, M., Ji, Q. (2020). Financial markets under the global pandemic of COVID-19. Financ Res Lett, 36, 101528.
[3] Narayan, P. K. (2020). Oil price news and COVID-19-Is there any connection? Energy Research Letters, 1(1), 13176.
[4] Blank, I. A. (2005-2006). Financial Risk Management. Russia: Nika Publishing Center. p. 10.
[5] Carol, A. D. (2015). International Energy Markets: Understanding Pricing, Policies, and Profit (2nd Edn.). Tulsa, Oklahoma: PennWell Corporation.
[6] Ali, M., Alam, N., & Rizvi, S. A. R. (2020). Coronavirus (COVID-19)-An epidemic or pandemic for financial markets. Journal of Behavioral and Experimental Finance, 27, 100341. [Cross Ref]
[7] https://tradingeconomics.com/azerbaijan/indicators
[8] http://www.socar.az/socar/az/economics-and-statistics/economics-and-statistics/oil-production
[9] Narayan, P. K., Phan, D. H. B., & Liu, G. (2021). COVID-19 lockdowns, stimulus packages, travel bans, and stock returns. Finance Research Letters, 38, 101732. [Cross Ref]
[10] Belgacem, A., Creti, A., Guesmi, K., & Lahiani, A. (2015). Volatility spill overs and macroeconomic announcements: evidence from crude oil markets. Applied Economics, 47(28), 2974-2984. [Cross Ref]
[11] Francisco, J. P. G. (2017). Financial Risk Management: Identification, Measurement and Management. Switzerland: Springer International Publishing AG. Pp: 41-60.
[12] Huang W., Zheng Y. (2020). COVID-19: Structural changes in the relationship between investor sentiment and crude oil futures price. Energy Research Letters, 1(2), 13685 [Cross Ref]
[13] Tapman, L. N. (2002). Risks in the economy. Russia: Unity Publishing Center. p. 303.
[14] John C. H. (2015). Risk Management and Financial Institutions (4th Edn). Hoboken, New Jersey: John Wiley & Sons, Inc.
[15] Qin, M., Zhang, Y. C., & Su, C. W. (2020). The Essential Role of Pandemics: A Fresh Insight into the Oil Market. Energy Research Letters, 1(1). [Cross Ref]
Nur-Mammadova Nigar (2021), Analysis of the Price Change of the Azerbaijani Oil of Azeri Light, using the Monte-Carlo Method in the Conditions of Uncertainty. IJBMR 9(3), 287-292. DOI: 10.37391/IJBMR.090306.