Models for bankruptcy forecasting: Case study of Russian enterprises

“…org/10.21202/1993-047X.14.2020.1. [22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39] Введение В последние годы в научной экономической и правовой литературе, российском законодательстве и судебной практике стал использоваться термин «объективное банкротство». Он призван подчеркнуть, что организация несостоятельна не формально, в соответствии с признаками, указанными в ст.…”

Section: Conflict Of Interest: No Conflict Of Interest Is Declared Byunclassified

“…Среди самых известных специалистов следует отметить таких, как Э. Альтман и его соавторы [18,19], У. Бивер [20,21], Х. Д. Платт и М. Б. Платт [22], Р. Дж. Таффлер [23], М. Змиевский [24], а также российских ученых О. П. Зайцеву [25], Г. В. Давыдову и А. Ю. Беликова [26], Т. В. Коссову и Е. В. Коссову [27], М. В. Помазанова и О. В. Колоколову [28], В. А. Сальникова, А. Н. Могилат и И. Ю. Маслова [29], Е. А. Федорову, Е. В. Гиленко и С. Е. Довженко [30]. Разработанные ими модели прогнозирования, как правило, работают на перспективу: позволяют судить о вероятности банкротства как в краткосрочном, так и долгосрочном прогнозном периоде, но не дают возможности определить, следует ли в текущий момент ликвидировать компанию либо дать ей шанс на восстановление платежеспособности и осуществление безубыточной деятельности.…”

Section: Conflict Of Interest: No Conflict Of Interest Is Declared Byunclassified

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Financial-economic tools for identifying the signs of objective bankruptcy

Бобылева¹,

Львова²

2020

APEL

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“…Russian researchers also prefer to use this methodology. In [Zhdanov, Afanasyeva, 2011] Another interesting paper is [Fedorova, Gilenko, Dovzhenko, 2013], which studied the Russian manufacturing industry. The sample involves 3001 non-bankrupt and 504 bankrupt firms during the period from 2007 to 2011.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of financial distress costs of innovative companies

Makeeva

Khugaeva

2018

RMJ

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Over the last few decades investments in research and development (R&D) projects have risen significantly. Many experts have found a positive relationship between R&D expenses and a company's value. However, investments in innovations are characterized by a high level of uncertainty. Often innovations generate income only in long run. These factors increase the probability of firms' financial distress considerably. Thus, the aim of the present paper is to evaluate financial distress costs at companies that invest in research and development projects. The study covers 389 innovative firms over the period from 2006 to 2015. The analysis is based on a direct and indirect costs evaluation. The first are estimated through panel logistic regression. Indirect costs are calculated as unexpected losses or profits relative to industry indicators. The paper confirms the existence of relation between R&D expenses and financial instability. The results of the research show that the total financial distress costs of innovative companies amount to 7.95% of total assets or 11.78% of the value of a company on average.

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Models for bankruptcy forecasting: Case study of Russian enterprises

Cited by 11 publications

References 6 publications

Bankruptcy-prediction models for Russian enterprises: Specific sector-related characteristics

Bankruptcy-prediction models for Russian enterprises: Specific sector-related characteristics

Financial-economic tools for identifying the signs of objective bankruptcy

Evaluation of financial distress costs of innovative companies

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