MODELING THE RATING OF ENERGY COMPANIES
Diana Andone,
Gheorghe Fatacean and
Paul Minteuan
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Diana Andone: BabeÈ™-Bolyai University Cluj-Napoca
Gheorghe Fatacean: BabeÈ™-Bolyai University Cluj-Napoca
Paul Minteuan: BabeÈ™-Bolyai University Cluj-Napoca
Revista Economica, 2017, vol. 69, issue 3, 8-18
Abstract:
The methods of bankruptcy risk measure the past performance of the economic entity, informing the managers in a small proportion on its future. Financial results can rapidly degrade over time because of the economic environment. As a reaction to these practical requirements, the diagnosis of the default risk was developed with statistic methods based on the financial ratios. The aggregate rating model which we built is based on credit - scoring methods, banking methods and an own model based on financial ratios. Then we tested the aggregate model on the energy companies CNTEE TRANSELECTRICA SA and ENEL SpA based on multiple financial criteria, we found that our model is similar with Moody's, Standard & Poor's and Fitch models.
Keywords: Rating; Scoring; Liquidity; Bankruptcy (search for similar items in EconPapers)
JEL-codes: G32 G33 (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:blg:reveco:v:69:y:2017:i:3:p:8-18
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