On causal extrapolation of sequences with applications to forecasting

Dokuchaev, Nikolai

doi:10.1016/j.amc.2018.01.038

Cited by 1 publication

(1 citation statement)

References 25 publications

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“…The extrapolation can be based on linear, power, logarithmic, polynomial, and other types of the indicator value dependence on the period. In general, the extrapolation model is described by function (Dokuchaev, 2018):…”

Section: Methodsmentioning

confidence: 99%

Financial Risks of Russian Oil Companies in Conditions of Volatility of Global Oil Prices

Chikunov

Ponkratov

Sokolov

et al. 2019

IJEEP

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The development of scientific approaches to assessing and diagnosing the financial risks of oil industry in the Russian Federation becomes a high priority task in conditions of high level of volatility in oil prices in the world energy market and preservation of sanctions regime. The article shows the main threats to financial stability of oil companies in Russia. Using cluster analysis, a system of indicators is proposed that determines the level of financial risk of oil companies in Russia. Based on the method of expert assessments and fuzzy sets, the classification of financial risk levels of oil industry is proposed. The integrated financial risk level of oil industry was calculated and scenarios of its development for 2018-2020 were forecast by means of regression modeling. The system of measures to improve the stability of oil companies and prevent functional financial risks is argued. The practical implementation of research results will be the basis for timely diagnosis of financial risks and qualitative development of preventive measures to neutralize them in the oil industry of Russia.

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Section: Methodsmentioning

confidence: 99%