ISSN 0798 1015


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Vol. 41 (Issue 41) Year 2020. Art. 1

Received: 06/06/2020 • Approved: 11/09/2020 • Published 29/10/2020

Organization bankruptcy risk forecasting methodology based on analytic hierarchy process

La metodología para predecir el riesgo de quiebra de las organizaciones basada en el método de análisis de jerarquías

ARINICHEV, Igor V.1
NARYZHNAYA, Natalya Y.2
ARINIСHEVA, Irina V. 3
DARMILOVA, Zhenny D.4

Abstract
In this article, the authors propose a methodology for assessing the bankruptcy risk of organizations operating in the framework of one industry. The authors identify six criteria - qualitative factors influencing the bankruptcy of an organization: industry risk (IR), management risk (MR), financial flexibility (FF), creditability (CR), competitiveness (CO) and operating risk (OR). The authors use the hierarchy analysis method to obtain a vector of aggregated default risk estimates.
key words: corporate bankruptcy, analytic hierarchy process, expert evaluation

Resumen
Los autores proponen una metodología para evaluar el inicio del riesgo de quiebra de las organizaciones que operan en el marco de una industria. La técnica conlleva pasos específicos e incluye cinco etapas. Se identifican seis criterios como factores que influyen en la quiebra: riesgo industrial (IR, industry risk), riesgo de gestión (MR, management risk), flexibilidad financiera (FF, financial flexibility), сredibilidad (CR, creditability), competitividad (CO, competitiveness) y riesgo operativo (OR, operating risk). Se utiliza el método de análisis de jerarquía para obtener un vector de estimaciones de riesgo de incumplimiento agregadas.
Palabras clave: quiebra de una organización, método de análisis de jerarquía, evaluaciones de expertos


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1. Department of Theoretical Economics, Kuban State University, Assistant Professor, Candidate of Economic Sciences, Krasnodar, Russia; iarinichev@gmail.com

2. Department of Mathematics and Computer Science, Financial University under the Government of the Russian Federation (Krasnodar branch), Assistant Professor, Candidate of Technical Sciences Krasnodar, Russia, e-mail: nunar-teacher@bk.ru

3. Department of High Mathematics, Kuban State Agrarian University named after I.T. Trubilin, Professor, Doctor of Biologic Sciences, Krasnodar, Russia; loukianova7@mail.ru

4. Department of World Economy, Kuban state University, Professor, Doctor of Economic Sciences, Krasnodar, Russian Federation; darmil@mail.ru


Revista ESPACIOS. ISSN 0798 1015
Vol. 41 (Nº 41) Year 2020

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