Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75299
Title: Unbiased investment risk assessment for energy generating companies: Rating approach
Authors: Domnikov, A.
Chebotareva, G.
Khodorovsky, M.
Issue Date: 2017
Publisher: WITPress
Citation: Domnikov A. Unbiased investment risk assessment for energy generating companies: Rating approach / A. Domnikov, G. Chebotareva, M. Khodorovsky // International Journal of Sustainable Development and Planning. — 2017. — Vol. 12. — Iss. 7. — P. 1168-1177.
Abstract: This article presents a proprietary methodological approach to the ranking of investment risks by severity level and assessment of risk impact on the investment decision-making process. Use was made of the multivariable data analysis mathematical tool, which allows the bias problem to be solved in the efforts to attain the objectives aimed at improvement of investment potential for energy generating companies. © 2017 WIT Press.
Keywords: BAYESIAN TREATMENT
ELECTRIC POWER INDUSTRY
ENERGY BUSINESS
ENERGY COMPANY
INVESTMENT
INVESTMENT POTENTIAL
INVESTMENT RISK
RISK CLASSIFICATION
THRESHOLD VALUES
ELECTRIC INDUSTRY
RISK ASSESSMENT
RISKS
BAYESIAN
ELECTRIC POWER INDUSTRIES
ENERGY BUSINESS
ENERGY COMPANIES
INVESTMENT RISKS
RISK CLASSIFICATION
THRESHOLD VALUES
INVESTMENTS
BAYESIAN ANALYSIS
BUSINESS DEVELOPMENT
DECISION MAKING
ENVIRONMENTAL ECONOMICS
ENVIRONMENTAL IMPACT ASSESSMENT
INDUSTRIAL INVESTMENT
INVESTMENT
METHODOLOGY
POWER GENERATION
RATING CURVE
RISK ASSESSMENT
THRESHOLD
URI: http://elar.urfu.ru/handle/10995/75299
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85021287595
PURE ID: 1929369
ISSN: 1743-7601
DOI: 10.2495/SDP-V12-N7-1168-1177
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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