Innovated Altman’s Model as a Predictor of Malfunctioning of Small and Medium-Sized Businesses in Bosnia and Herzegovina
References
- Altman E.I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, Journal of Finance 23, pp. 189-209.10.2307/2325319
- Altman E.I., Haldeman R.G., Narayanan P. (1977). ZETA Analysis, Journal of Banking and Finance 1, pp. 29-54.10.1016/0378-4266(77)90017-6
- Altman E., Sabato G. (2007). Modelling Credit Risk form SMEs: Evidence from US Market, Abacus. 43 (3), pp. 332-357, URL http://people.stern.nyu.edu[30.12.2014.].10.1111/j.1467-6281.2007.00234.x
- Altman I.E., Sabato G., Wilson N. (2008). The Value of Qualitative Information in SME Risk Menagement, CMRC, Leeds University Business School, UK., URL: http://people.stern.nyu.edu [30.12.2014.].10.2139/ssrn.1320612
- Beaver, W., (1966). Financial Ratios as Predictors of Failure, Empirical Research in Accounting, Selected Studies, Vol 4, pp. 71-11.10.2307/2490171
- Chancharat N. (2011). SMEs Failure Prediction: Literature Review, ABAC Journal Vol.31 No.3 (September - December 2011) pp.70-81.
- Edmister R.O. (1972). Financial Ratios as Discriminant Predictors of Small Business Failure, The Journal of Finance, Vol 27, Issue 1, pp. 129-140.10.1111/j.1540-6261.1972.tb00633.x
- Ekes K. S., Koloszar L. (2014). The Efficency of Bankruptcy Forecast Models in the Hungarian SME Sector, Journal of Competitiveness, Vol. 6, Issue 2, pp. 56-73.10.7441/joc.2014.02.05
- Janer J. (2011). Bankuptcy Prediction and its Adwentages, Empirical Evidence from SMEs in the French Hospital Industry, Master thesis, Department of Economics, Copenhagen Bussines School, URL : http://studenttheses.cbs.dk/, [30.12.2014.]
- Jazdanfar D., Nilsson M. (2008). The Bankruptcy Determinants of Swedish SMEs, Institute form Small Business & Enterepreneurship, 5-7 November, Belfast, N. Ireland, URL : http://www.diva-portal.org/, [30.12.2014.].
- Khanji I. (2010). Failure Predictions for the Small-Medium Enterprises in UK, URL: http://www.academia.edu/, [30.12.2014.].
- Marom S., Lussier R.N. (2014). A Business Success Versus Failure Prediction Model for Small Businesses in Israel, Business and Economic Research, Macrothink Institute, Vol 4, No 2, pp. 63-81.
- Kester Dž., Radivojac G. (2015). Analiza rizika insolventnosti kod nefinansijskih kompanijea koje kotiraju na službenom tržištu Banjalučke berze primjenom Altmanobog Z-score modela. X Međunarodni simpouijum o korporativnom upravljanju, pp. 245-258, Banja Vrućica.
- www.kralicek.at/pdf/quickbreak [05.01.2018].
- Marom S., Lussier R.N. (2014). A Business Success Versus Failure Prediction Model for Small Businesses in Israel, Business and Economic Research, Macrothink Institute, Vol 4, No 2, pp. 63-81.10.5296/ber.v4i2.5997
- Muminović S., Pavlović V., Cvijanović J.M. (2011). Predictive Ability of Various Bankruptcy Prediction Z-Score Model for Serbian Publicly Listed Companies, Industrija, Časopis Ekonomskog instituta Beograd, br. 3, pp. 1-12.
- Mures-Quintana, Maria-Jesus and Garcia Gallego, Ana. (2012). Proseedings of the First International Conference in Safety and Crises Menagement, in the Constuction, Turism and SME Sectors, USA, Florida, 2012, Credit Risk Assestments: Business Failure in Spanish SMEs Sector, pp. 331-350.
- Mramor D., Valenti A. (2003). Forecasting the Liquidity of Very Small Private Companies, Journal of Business Venturing 18, pp. 745-771.10.1016/S0883-9026(03)00002-8
- Nur Adiana H.A., Abd Halim A., Rohani M.R., Nasruddin Z. (2014) Modeling Small Business Failures in Malaysia, URL : http://papers.ssrn.com/, [30.12.2014.]
- Ohlson, J. A. 1980. Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research (spring): pp.109-131.10.2307/2490395
- Petković S. (2010). Mala i srednja preduzeća u funkciji uspješnosti privređivanja (Projektovano na Republiku Srpsku), doktorska disertacija, Banja Luka. Ekonomski fakultet.
- Pervan I., Pervan M., Vukoja B. (2011). Prediction of Company Bankruptcy Using Statistical Techniques – Case of Croatia. Croation Operational Research Review, Vol 2, pp. 158-167
- Proklin M., Zima J. (2011). Uticaj likvidnosti i solventnosti na poslovanje poduzetnika, Ekonomski vjesnik, Vol. 24 No.1. pp. 72-89.
- Salkić A. (2013). Testing of Possibility of Establishing Creditworthiness od Small and Medium Enterprises in Bosnia and Herzegovana by Applying Kralicek DF Indicator, Economic Review – Journal of Economics and Business, Vol. XI, Issue 2, pp.57-70.
- Šarlija N., Jeger M. (2011). Comparing financijal distress prediction models before an during recession. Croaton Operational Reaserch Review 2 (1) pp. 133-142.
- Škeljo K. (2000). Exploring the possibilities of using the Altman model in Croatian Economics: Master’s thesis, Zagreb, Faculty of Economics.
- Teti E., Dell´Acqua, Brambilla M. (2012). Bankruptcy Predictors During the Financial Crisis. A Study of Italian SMEs, URL: http://www.mfsociety.org/ [30.12.2014.].
- Vidimlić S. (2015). Primjena Chesserovog modela kod predviđanje neispunjenja obaveza prema bankama kod malih preduzeća u Bosni i Hercegovini, Zbornik radova Ekonomskog fakulteta u Sarajevu, pp. 150-166, Sarajevo.
- Wellalage N.H., Locke S. (2012). Factors Affecting the Probability of SME Bankruptcy: A Case Study on New Zealand Unlisted Firms. URL: www.ssrn.com [06.01.2015.].
- Mikerević, D.J. (2011). Finansijski menadžment, četvrto izmijenjeno i dopunjeno izdanje, Banja Luka. Ekonomski fakultet, Finrar.
- Soldić-Aleksić J., Hroneos Krasavac B. (2009). Kvantitativne tehnike u istraživanju tržišta, Primjena SPSS računarskog paketa, Beograd, Centar za izdavačku djelatnost Ekonomskog fakulteta u Beogradu.
Language: English
Page range: 21 - 33
Submitted on: May 3, 2018
Accepted on: Mar 28, 2019
Published on: May 4, 2020
Published by: University of Niš, Faculty of Economics
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2020 Selma Vidimlić, published by University of Niš, Faculty of Economics
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