The multi-dimensional structural analysis of bankruptcy of enterprises in Poland in 2013 – results of empirical studies

Antonowicz, Paweł

doi:10.14254/2071-8330.2014/7-1/3

Cited by 4 publications

(1 citation statement)

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“…In recent years, many authors have analysed various aspects of enterprise bankruptcy. These are noteworthy: Antonowicz (2014); Aziz and Dar (2006), Bivainis and Garškaitė (2010); Burkšaitienė and Mažintienė (2011); Dyczkowska (2009); Garškienė and Garškaitė (2004); Genriha and Voronova (2010); Genriha, Petere and Voronova (2011); Grigaravičius (2002); Haber (2005); Valkauskas (2013, 2014); Prasad and Puri (2005); Purlys (2001); Purvinis, Šukys and Virbickaitė (2005); Šneidere (2005, 2007); Stoškus, Beržinskienė and Virbickaitė (2007); Stundžienė and Boguslauskas (2006); Tvaronavičienė (2001), Kuzmin (2018) and others.…”

Section: Introductionmentioning

confidence: 96%

The waves of enterprises bankruptcy and the factors that determine them: the case of Latvia and Lithuania

Mackevičius¹,

Sneidere²,

Tamulevičienė³

2018

JESI

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Bankruptcy of enterprises is macroeconomic issue and a phenomenon of a dynamic and competitive market economy. It results in a lot of negative effects not only for the enterprise and its employees but also for other enterprises and institutions, as well as the state and society. The aim of the article is to carry out the analysis of bankruptcy of Latvian and Lithuanian enterprises. No such study has been carried out so far. Article analyses the dynamics of Latvian and Lithuanian enterprise bankruptcy, which manifest themselves in larger waves in certain periods and the factors that influence them. From 1993when the bankruptcy of enterprises was started to be officially registeredto 1 January 2017, 21,503 Latvian enterprises and 20,933 Lithuanian enterprises went bankrupt. The largest wave of bankruptcy took place in the period of 2008-2010, when the financial crisis started in both countries. The comparative analysis of Latvian and Lithuanian enterprise bankruptcies was carried out according to the economic activity types and enterprises legal forms. In both countries mostly wholesale and retail trade, repair of motor vehicles and motorcycles enterprises (30% on average) go bankrupt, while construction enterprises (13% on average) are the runners-up. Initiators of enterprise bankruptcy are studied, numbers of Latvian and Lithuanian enterprises that went bankrupt are compared to the overall number of companies in the country. The data of this analysis are valuable when forecasting enterprise bankruptcy and preparing the measures to avoid it. The main research methods: analysis of scientific literature and statistical data, case analysis, methods of collection, grouping, comparison and generalization of information.

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Section: Introductionmentioning

confidence: 96%

The waves of enterprises bankruptcy and the factors that determine them: the case of Latvia and Lithuania

Mackevičius¹,

Sneidere²,

Tamulevičienė³

2018

JESI

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Bankruptcy Models: Verifying Their Validity as a Predictor of Corporate Failure

Kováčová

Klieštik

Kubala

et al. 2018

PJMS

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Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis

Klieštik

Vrbka

Rowland

2018

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Research background: The problem of bankruptcy prediction models has been a current issue for decades, especially in the era of strong competition in markets and a constantly growing number of crises. If a company wants to prosper and compete successfully in a market environment, it should carry out a regular financial analysis of its activities, evaluate successes and failures, and use the results to make strategic decisions about the future development of the business. Purpose of the article: The main aim of the paper is to develop a model to reveal the un-healthy development of the enterprises in V4 countries, which is done by the multiple discriminant analysis. Methods: To conduct the research, we use the Amadeus database providing necessary financial and statistical data of almost 450,000 enterprises, covering the year 2015 and 2016, operating in the countries of the Visegrad group. Realizing the multiple discriminant analysis, the most significant predictor and the best discriminants of the corporate prosperity are identified, as well as the prediction models for both individual V4 countries and complex Visegrad model. Findings & Value added: The results of the research reveal that the prediction models use the combination of same financial ratios to predict the future financial development of a company. However, the most significant predictors are current assets to current liabilities ratio, net income to total assets ratio, ratio of non-current liabilities and current liabilities to total assets, cash and cash equivalents to total assets ratio and return of equity. All developed models have more than 80 % classification ability, which indicates that models are formed in accordance with the economic and financial situation of the V4 countries. The research results are important for companies themselves, but also for their business partners, suppliers and creditors to eliminate financial and other corporate risks related to the un-healthy or unfavorable financial situation of the company.

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The multi-dimensional structural analysis of bankruptcy of enterprises in Poland in 2013 – results of empirical studies

Cited by 4 publications

References 0 publications

The waves of enterprises bankruptcy and the factors that determine them: the case of Latvia and Lithuania

The waves of enterprises bankruptcy and the factors that determine them: the case of Latvia and Lithuania

Bankruptcy Models: Verifying Their Validity as a Predictor of Corporate Failure

Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis

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