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Simple Fuzzy Score for Russian Public Companies Risk of Default

Listed author(s):
  • Sergey Ivliev
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    The model is aimed to discriminate the 'good' and the 'bad' companies in Russian corporate sector based on their financial statements data based on Russian Accounting Standards. The data sample consists of 126 Russian public companies- issuers of Ruble bonds which represent about 36% of total number of corporate bonds issuers. 25 companies have defaulted on their debt in 2008-2009 which represent around 30% of default cases. No SPV companies were included in the sample. The model shows in-sample Gini AR about 73% and gives a reasonable and simple rule of mapping to external ratings. The model can be used to calculate implied credit rating for Russian companies which many of them don't have.

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    Paper provided by in its series Papers with number 1004.0685.

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    Date of creation: Apr 2010
    Date of revision: Apr 2010
    Handle: RePEc:arx:papers:1004.0685
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