Bankruptcy Prediction Model for Private Limited Companies of Lithuania

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Abstract

The paper is mainly devoted to the bankruptcy prediction models and their ability to assess a bankruptcy probability for Lithuanian companies. The study showed that the most common type of companies in Lithuania is a private limited company, therefore, the main objective was to analyse such companies’ financial information and by using these results, create a new bankruptcy prediction model, which would allow to predict the bankruptcy probability as accurately as possible. 145 companies (73 already bankrupt and 72 still operating) were chosen as a primary sample and by using multivariate discriminant analysis stepwise method a linear function ZGS has been created. To achieve that, 156 different financial ratios were selected as a primary input data by using correlation calculation between bankruptcy and still operating companies and Mann - Whitney U test techniques. The results showed that 89% of companies were classified correctly, which states that the model is strong enough to predict bankruptcy probability for private limited companies operating in Lithuania in a sufficient accuracy.

Abbas Q, Rashid A. (2011). Predicting Bankruptcy in Pakistan. Theoretical and Applied Economics, volume XVIII (2011), No. 9(562), p. 103-128.

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bancruptcy. The Journal of Finance, Vol. 23, no. 4, p. 589-609.

Beaver, W. (1966). Financial ratios as predictors of failure. Journal of Accounting Research 5, p. 71-111.

Bellovary, J. et al. (2007). A Review of Bancruptcy Prediction Studies: 1930 - Present. Journal of Financial Education, Vol. 33 (Winter 2007), p. 1-42.

Buškevičiūtė, E., Mačerinskienė, I. (2009). Finansų analizė: vadovėlis. - Kaunas, Technologija, 379 p. - ISBN 9986-13-710-1.

Bužinskienė R., Karalevičienė J. (2011). Moderniųjų bankroto diagnozavimo modelių taikymas įmonėje. Vadyba: Mokslo tiriamieji darbai, nr. 2(19), p. 113-123.

Cheng Lim, T. et al. (2012). Bankruptcy Prediction: Theoretical Framework Proposal. International Journal o Management Sciences and Business Research, Volume 1, Issue 9, p. 69-74.

Chudson, W. (1945). The Pattern of Corporate Financial Structure. New York: National Bureau of Economic Research.

Dagilienė, L. et al. (2010). Bankroto prognozavimo svarba ir metodai.Verslas: teorija ir praktika, 11(2), p. 143-150.

Du Jardin, P. (2009). Bankruptcy prediction models: How to choose the most relevant variables? Bankers, Markets & Investors, issue 98, January-February, p. 39-46.

Grigaravičius, S. (2003). Corporate Failure Diagnosis: Reliability and Practice. Organizacijų vadyba: sisteminiai tyrimai: 2003.28, p. 29-42.

Grigaravičius, S. Įmonių nemokumo diagnostika ir jų pertvarkymo sprendimai. - Kaunas, VDU leidykla, 126 p. - ISBN 9955-53079-0

Hamdi M., Mestiri S. (2014). Bankruptcy prediction for Tunisian firms: an application of semi - parametric logistic regression and neural networks approach. Economics Bulletin, Vol. 34 No. 1, p. 133-143.

Jackendoff, N. (1962). A Study of Published Industry Financial and Operating Ratios. Philadelphia: Temple University, Bureau of Economic and Business Research.

Jakimuk, J., Žigienė, G. (2011). Infliacijos įtaka bankroto prognozavimo modelių tikslumui. Ekonomika ir vadyba: aktualijos ir perspektyvos, 2011. 1 (21), p. 26-36.

Krancevičiūtė, R. (2012). Įmonių bankroto analizė ir prognozavimas. Transporto inžinerija ir vadyba: 15-osios Lietuvos jaunųjų mokslininkų konferencijos „Mokslas - Lietuvos ateitis“ straipsnių rinkinys. Vilnius: Technika, 412 p.

Mackevičius J. et al. (2014). Įmonių veiklos tęstinumo ir plėtros vertinimas remiantis finansinėmis ataskaitomis. Finansinės apskaitos ir analizės informacijos panaudojimas vertinant įmonių finansinį turtą // Lietuvos turto vertintojai - 20 metų veiklos patirtis nacionalinės ir Europos ekonominės erdvės kontekste. Recenzuojamas mokslo leidinys. Konferencijos, vykusios Vilniuje Vilniaus universitete 2014 m. kovo 28 d., mokslo darbai, Vilniaus universiteto leidykla, p..222-229.

Merwin, C. (1942). Financing small corporations in five manufcaturing industries, 1926-1936 New York: National Bureau of Economic Research.

Pervan, I. et al. (2011). Prediction of company bankruptcy using statistical techniques - case of Croatia. Croatian Operational Research Review, vol. 2, 2011, p. 158-167.

Stoškus, S. et al. (2007). Theoretical and practical decisions of bankruptcy as one of dinamic alternatives in companies performance. Engineering Economics, 2(52), p. 26-33.

Walton P., Aerts W. (2007). Global Financial Accounting and Reporting: Principles and Analysis. - London: Thompson Learning, 496 p. - ISBN 978-1-84480-265-4.

Xu M., Zhang C. (2008). Bankruptcy prediction: the case of Japanese listed companies. Review of Accounting Studies, volume 14, issue 4, p. 534-558.

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