ПОРЕЂЕЊЕ МОДЕЛА ЗА ПРЕДВИЂАЊЕ СТЕЧАЈА НА УЗОРКУ СРПСКИХ ПРЕДУЗЕЋА

Sanja Vlaović Begović, Ljiljana Bonić, Slobodanka Jovin
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引用次数: 4

Abstract

Turbulent conditions on the Serbian market, the deep consequences of the global economic crisis that have shaken the already weakened economy are strong reasons for constant monitoring of business in Serbia. Identifying financial problems in a company that lead to bankruptcy reduces the risk of potential losses. The aim of the paper is to compare the Altman model and the Zmijewski model that are applied in companies in Serbia and by that to conclude which one gives better results for predicting bankruptcy. Also, the paper will examine the significance of individual ratios in models using correlation analysis.The results of the survey showed that the accuracy of predicting the bankruptcy of the Altman model for emerging markets on Serbian companies undergoing bankruptcy proceedings, is high, 88.68% for one and 79.25% for two years before the initiation of bankruptcy proceedings. The accuracy of the Zmijewski model is slightly higher than the Altman model for one year before the initiation of bankruptcy proceedings and amounts to 90.57%. Two years before bankruptcy, the Zmijewski model's accuracy is the same as with the Altman model (79.25%). When it comes to the overall sample (undergoing bankruptcy proceedings companies and non-bankruptcy companies), the average accuracy of the Zmijewski model is higher than the Altman model (89.62% > 85.22%). Based on Pearson's correlation coefficient, we have established that one year before initiating bankruptcy, there is almost an impeccably perfect positive relationship between the ratio of working capital and total assets on one side, and Z’’- score on the other. The Zmijewski coefficient has an almost perfect negative relationship with the indebtedness ratio. By observing both models, it can be concluded that companies in Serbia had a problem with liquidity, indebtedness and the impossibility of returning the invested funds, which contributed to the poor financial situation and initiation of bankruptcy proceedings.
塞尔维亚市场的动荡状况和全球经济危机的严重后果动摇了已经脆弱的经济,这些都是不断监测塞尔维亚商业的有力理由。识别导致公司破产的财务问题可以降低潜在损失的风险。本文的目的是比较应用于塞尔维亚公司的Altman模型和Zmijewski模型,并由此得出哪一种模型在预测破产方面给出更好的结果。此外,本文将使用相关分析来检验个体比率在模型中的重要性。调查结果显示,新兴市场Altman模型对处于破产程序中的塞尔维亚公司的破产预测准确率较高,在破产程序启动前一年为88.68%,在破产程序启动前两年为79.25%。Zmijewski模型在破产程序启动前一年的准确率略高于Altman模型,达到90.57%。破产前两年,Zmijewski模型的准确率与Altman模型相同(79.25%)。对于整体样本(处于破产程序中的公司和未破产的公司),Zmijewski模型的平均准确率高于Altman模型(89.62% > 85.22%)。根据Pearson相关系数,我们已经确定,在启动破产前一年,营运资本与总资产的比率与Z”-分数之间存在几乎无可挑剔的完美正相关关系。兹米耶夫斯基系数与负债率呈几乎完美的负相关关系。通过观察这两种模式,可以得出结论,塞尔维亚的公司存在流动性问题、负债问题和无法收回所投资资金的问题,这些问题造成了糟糕的财务状况和开始了破产程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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