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Прогнозирование банкротства российских компаний

Прогнозирование банкротства российских компаний

Abstract

Прогнозирование вероятности банкротства компаний является широко применимой процедурой, важность которой традиционно возрастает в периоды экономических кризисов. В целях прогнозирования банкротства разработано много моделей для развитых и крупнейших развивающихся рынков. Однако применение данных моделей к компаниям развивающихся стран невозможно без существенного падения предсказательной силы. Именно поэтому вопрос разработки качественной модели для прогнозирования банкротства российских компаний становится весьма актуальным. В данной работе произведено построение модели предсказания банкротства на основе логистической регрессии для крупнейших российских акционерных компаний, не торгующихся на фондовых биржах.

Keywords

ПРОГНОЗИРОВАНИЕ БАНКРОТСТВА,АКЦИОНЕРНЫЕ КОМПАНИИ,ЛОГИСТИЧЕСКАЯ РЕГРЕССИЯ

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green