naa a22 4500 510775578 CHVBK 20180411083229.0 cr unu---uuuuu 180411e20130301xx s 000 0 eng 10.1134/S1075700713020044 doi (NATIONALLICENCE)springer-10.1134/S1075700713020044 Models for bankruptcy forecasting: Case study of Russian enterprises [Elektronische Daten] [E. Fedorova, E. Gilenko, S. Dovzhenko] The article examines the applicability of a number of foreign and national forecasting models of the bankruptcy probability of Russian enterprises. The presented models are developed using econometric methods on a sample of manufacturing enterprises of the Russian Federation with resulting efficiency of 84.7%. Using the methodology of binary classification trees, the boundaries of liquidity and financial stability ratios leading to bankruptcy are specified. Pleiades Publishing, Ltd., 2013 Fedorova E. Financial University under the Government of the Russian Federation, Moscow, Russia aut Gilenko E. St. Petersburg State University, St. Petersburg, Russia aut Dovzhenko S. St. Petersburg State University, St. Petersburg, Russia aut Studies on Russian Economic Development SP MAIK Nauka/Interperiodica 24/2(2013-03-01), 159-164 1075-7007 24:2<159 2013 24 11507 https://doi.org/10.1134/S1075700713020044 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1134/S1075700713020044 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fedorova E. Financial University under the Government of the Russian Federation, Moscow, Russia aut NATIONALLICENCE 700 1- Gilenko E. St. Petersburg State University, St. Petersburg, Russia aut NATIONALLICENCE 700 1- Dovzhenko S. St. Petersburg State University, St. Petersburg, Russia aut NATIONALLICENCE 773 0- Studies on Russian Economic Development SP MAIK Nauka/Interperiodica 24/2(2013-03-01), 159-164 1075-7007 24:2<159 2013 24 11507 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer