Assessment of Financial Stability and Business Expansion of JSC Statoil in the ‎Context of Economic Instability

  • Oksana SAVCHINA Finance and Credit Department, Economic Faculty, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russian Federation
  • Alexandr BRATANOV Finance and Credit Department, Economic Faculty, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russian Federation
  • Olga SAVCHINA Accounting, Audit and Statistics Department, Economic Faculty, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russian Federation
  • Petr SHCHERBACHENKO Corporate Finance and Corporate Governance Department, Financial University, Russian Federation

Abstract

The purpose of this study is to assess the financial stability of one of the largest oil and gas company in Norway – JSC Statoil that has been operating for more than 20 years in Russia, which is an important region for expanding its international activities, and determine the impact of financial risks on business expansion in conditions of the economic instability. To implement the research the authors have collected financial data from the reports of financial results and the balance sheets of the company. They have selected the key performance and solvency indicators in particular among which: gross profit margin, net profit, financial debt, liquidity, turnover rates, etc. In order to determine the risk of insolvency the authors have also used the Springate and Taffler predictive models and econometric modelling for assessing the influence of macroeconomic conjuncture on the company’s performance. This can lead to significant financial loss both for the company itself and for the state as a whole, since Statoil is the largest oil and gas company in Norway. Research results suggest that the management of financial risks at the macro level is a fundamental activity for oil and gas companies, especially for commodity market economies.

References

[1] Akhmetshin, E. et al. 2018. Analysis of innovation activity of enterprises in modern business. Journal of Advanced Research in Law and Economics, Volume VIII, 8(30). DOI: https://doi.org/10.14505/jarle.v8.8(30).01 Available at: https://journals.asers publishing.eu/jarle/ article/view/2189.
[2] Amadeo, K. 2019. Oil price forecast 2019 – 2050. The balance. Available at: https://www.thebalance.com/oil-price-forecast-330621 9.
[3] Brescani, G., and Brinkman, M. 2016. Five strategies to transform the oil and gas supply chain. McKinsey and Company, Available at: https://www.mckinsey.com/industries/oil-and-gas/our-insights/five-strategies-to-transform-the-oil-and-gas-supply-chain.
[4] Coffie, W. 2018. Modelling and forecasting volatility of the Botswana and Namibia stock market returns: evidence using GARCH models with different distribution densities. Global Business and Economics Review, 20(1): 18-3. Available at: https://www.inderscience.com/info/inarticletoc.php?jcode=gber&year=2018& vol=20&issue=1.
[5] Dogah, K.E., and Premaratne, G. 2018. Sectoral exposure of financial markets to oil risk factors in BRICS countries. Energy Economics, 76: 228-256. Available at: https://www.sciencedirect.com/science/article/ pii/S0140988318303864?via%3Dihub.
[6] Durden, T. 2017. The 4 factors driving next year's oil markets. Zero Hedg. Available at: https://www.zero hedge.com/news/2017-10-29/4-factors-driving-next-years-oil-markets.
[7] Furlanetto, F., Ravazzolo, F., and Sarferaz, S. 2017. Identification of financial factors in economic fluctuations. The Economic Journal, 129(617): 311-337. Available at: https://onlinelibrary.wiley.com/doi/abs/10.1111/ ecoj.12520.
[8] García-Gallego, A., Mures-Quintana, M.J., and Vallejo-Pascual, M.E. 2015. Forecasting statistical methods in business: A comparative study of discriminant and logit analysis in predicting business failure. Global Business and Economics Review, 17(1): 76-92. Available at: https://www.inderscience.com/info/inarticletoc.php?jcode= gber&year=2015&vol=17&issue=1.
[9] Gorbunova, E. 2019. Tax policy of the state in oil industry as one of the factors ensuring financial security of the Russian Federation. Paper presented at The International Science and Technology Conference ‘FarEastСon’, 48-55 pp. Available at: https://rd.springer.com/chapter/10.1007/978-3-030-15577-3_5.
[10] Ivanyuk, I.A. 2016. Assessment of the impact of the global crisis on the financial stability of oil and gas companies. Young Scientist, 6: 435−437.
[11] Katysheva, E. 2016. Methods of the taxation optimization for the oil-extracting companies in Russia. Paper presented at the 16th International Multidisciplinary Scientific Geoconference SGEM 2016. Ecology, Economics, Education and Legislation. Conference Proceedings. Volume III. Environmental Economics, Education and Accreditation in Geosciences. Albena, Bulgaria, 357-365 pp.
[12] Krasilnikova, A.V., and Korosteleva, V.V., 2010. Small business of the oil industry: Experience and problems of development. Problems of Modern Economy, 3: 198−200.
[13] Lane, R. 2019. Factors affecting demand and supply of oil prices. BizFluent. Available at: https://bizfluent.com/ info-8621442-factors-demand-supply-oil-prices.html.
[14] Lynch, M. 2017. The death of the oil industry: Not this again. Forbes, Available at: https://www.forbes.com/ sites/michaellynch/2017/02/08/the-death-of-the-oil-industry-not-this-again/#12d1c2814d0b.
[15] Mansour, M., and Nakhle, C. 2016. Fiscal stabilization in oil and gas contracts: Evidence and implications. Oxford Institute for Energy Studies, Available at: https://www.oxfordenergy.org/wpcms/wp-content/uploads/2016/01/Fiscal-Stabilization-in-Oil-and-Gas-Contracts-SP-37.pdf.
[16] Miecinskiene, A., and Lapinskaite, I. 2014. The research on the impact of the changes of commodity price level in the world commodity exchanges on variation of general price level. Economics and Sociology, 7(4): 71-88. Available at: https://www.economics-sociology.eu/files/09_71_Miecinskiene_Lapinskaite.pdf.
[17] Mikhailov, A. 2018. Pricing in oil market and using probit model for analysis of stock market effects. International Journal of Energy Economics and Policy, 8(2). Available at: https://www.econjournals.com/ index.php/ijeep/article/view/5846.
[18] Ntlaba, M., and Ncube, O. 2014. Strategic asset management: a differentiating strategy to enhance a competitive advantage of petrochemical companies. International Journal of Business and Economics Research, 3(3): 118-127. Available at: http://www.ijber.org/article/178/10.11648.j.ijber.20140303.11.
[19] Ramos, S.B., and Veiga, H. 2010. Risk factors in oil and gas industry returns: International evidence. Energy Economics, 33(3): 525-542. Available at: https://www.sciencedirect.com/science/article/pii/ S0140988310001830.
[20] Rudloff, D., and Schultz, M. 2016. Top risks in oil and gas. How oil and gas companies gauge the risks they face. Oil and Gas Financial Journal 9(11): 11.
[21] Ryaskova, N. 2015. Financial risks, their essence and classification. Russian Accountant, 12: 94-108.
[22] Savchina, O.V. et al. 2017. Energy sector of the Russian Federation in the context of macroeconomic instability. International Journal of Energy Economics and Policy, 7(5): 28-33. Available at: https://www.econjournals.com/index.php/ijeep/article/view/5375.
[23] Savchina, O.V. et al. 2016. On the state of the mortgage market in the Russian Federation in the conditions of global economic crisis. Journal of Applied Economic Sciences, 6(44): 1097-1103, Available at: http://cesmaa.org/Docs/JAES%20_Fall%206(44)_online%20last.pdf
[24] Tiwary, A.R. 2019. Study of currency risk and the hedging strategies. Journal of Advanced Studies in Finance 10(1), Available at: https://journals.aserspublishing.eu/jasf/article/view/3787.
[25] Tsionas, M. 2018. Stochastic frontier models with flexible random coefficients. Global Business and Economics Review, 20(1). Available at: https://www.inderscience.com/info/inarticletoc.php?jcode=gber& year=2018&vol=20&issue=1.
[26] Uematsu, Y., and Tanaka, S. 2019. High‐dimensional macroeconomic forecasting and variable selection via penalized regression. The Econometrics Journal, Available at: https://www.res.org.uk/journals/the-econometrics-journal/journal-content.html.
[27] Writer, S. 2011. Top 20 risk factors facing the oil andgas industry. Energy Digital, Available at: https://www.energydigital.com/utilities/top-20-risk-factors-facing-oil-gas-industry.
[28] Xi, Y., Hong, W., and Qi, Z. 2016. A scenario analysis of oil and gas consumption in China to 2030 considering the peak CO2 emission constraint. Petroleum Science, 13: 370-383, Available at: https://link.springer.com/article/10.1007/s12182-016-0089-2.
[29] Yakupov, B., and Verein, P. 2017. Reform of the Russian taxation system in the oil sector. Benefits and losses. Problems of modern science and education, Available at: https://cyberleninka.ru/article/n/reforma-nalogovoy-sistemy-rf-v-neftyanoy-sfere-vygody-i-poteri/viewer.
Published
2019-09-30
How to Cite
SAVCHINA, Oksana et al. Assessment of Financial Stability and Business Expansion of JSC Statoil in the ‎Context of Economic Instability. Journal of Advanced Research in Law and Economics, [S.l.], v. 10, n. 6, p. 1929-1938, sep. 2019. ISSN 2068-696X. Available at: <https://journals.aserspublishing.eu/jarle/article/view/4992>. Date accessed: 22 dec. 2024.
Citation Formats
Issue
Vol 10 No 6 (2019): JARLE Volume X Issue 6(44) Fall 2019
Section
Articles

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