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Анализ вероятностных соответствий меж ду рейтингами ведущих меж дународных компаний Moody’s, Fitch и standard&poor’s

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  • ОШЕРОВИЧ ИННА ЛЬВОВНА

    (Финансовый университет)

Abstract

В работе обсуждается проблема соответствий между шкалами оценок кредитной привлекательности ведущих международных рейтинговых агентств: Moody's, Fitch и Standard&Poor's (S&P). В результате краткого обзора существующих методологических подходов к решению данной проблемы в исследовании предложен новый метод, базирующийся на теории бинарных отношений и функций выбора по векторному критерию. В качестве отношения предпочтения рассматривается отношение строгого порядка, порожденное вероятностью дефолта, а в качестве эталонной меры выбирается специально вводимый рейтинг как результат ранжирования по Парето многомерных параметров текущих оценок Moody's, Fitch и S&P. При этом сама механика присвоения рейтингов тем или иным международным агентством в данном подходе оказывается неважна, что нивелирует зависимость от политического ангажирования экспертных оценок. Естественно, подобное расширение не может приводить к взаимной однозначности шкал и поставляет взамен их вероятностное соответствие.

Suggested Citation

  • Ошерович Инна Львовна, 2015. "Анализ вероятностных соответствий меж ду рейтингами ведущих меж дународных компаний Moody’s, Fitch и standard&poor’s," Вестник Финансового университета, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 3 (87), pages 136-148.
    • Handle: RePEc:scn:031255:15897554
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    References listed on IDEAS

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    1. Karminsky, Alexandr & Peresetsky, Anatoly, 2007. "Models of Banks Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 5(1), pages 3-19.
    2. Peresetsky, Anatoly, 2009. "Models for the External Support Component of Moody's Bank Ratings," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 14(2), pages 3-23.
    3. van Soest, A.H.O. & Peresetsky, A. & Karminsky, A.M., 2003. "An Analysis of Ratings of Russian Banks," Other publications TiSEM 5b60e672-da50-41be-af9c-a, Tilburg University, School of Economics and Management.
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