A binary classification method for bankruptcy prediction

Stock és flow típusú számviteli adatok alkalmazása a csődelőrejelző modellekben

“…Nemzetgazdasági relevanciája abban is rejlik, hogy a modellek előrejelző képességének növelésével makroszinten is fokozható a forrásallokáció hatékonysága (Min -Jeong, 2009). Mikroszinten az az aspektus említ-hető, hogy a modellek alkalmazásával részben automatizálható a hitelezési döntéshozatal, ugyanis a modellek segítségével részletes elemzés nélkül azonosítható a hitelezésre nem ajánlott ügyfélkör, így a döntéselőkészítés munkaigénye csökken (Ic -Yurdakul, 2010).…”

Use of financial indicator for enterprises’ solvency evaluation

“…The financial ratios used in the practical research include 25 financial ratios: liquidity, solvency, activity and profitableness indicator groups and these are most often used financial ratios in the theoretical and practical researches of the evaluation of the enterprise financial position (Pindado, 2004;Aripin, 2008;Bose, 2006;Lieu, 2008;Min, 2009;Кramin, 2003;Halim, 2011;Bhunia, 2011;Xidomas, 2009).…”

“…The Australian researchers (Aripin, 2008) used 43 financial ratios in order to evaluate an enterprise's activity including five groups of financial ratios: stock market ratios, profitableness indicators, capital structure indicators, liquidity indicators and other indicators taking into account cash flow indicators. 24 financial ratios were used in order to evaluate enterprises' financial position (Bose, 2006), forecasting the financial difficulties of the enterprises 1, 2 and 3 years before their beginning; 29 financial ratios (Lieu, 2008) were used researching the financial indicators of the bankrupt and non-bankrupt enterprises; 27 financial ratios (Min, 2009) -evaluating the financial health of the enterprises; 26 financial ratios (Кramin, 2003), 17 financial ratios (Halim, 2011), 16 financial ratios (Bhunia, 2011) and 12 financial ratios (Xidomas, 2009).…”

Predicting Bankruptcy with Semi-Parametric Single-Index Model

“…For this reason it is natural to compare its forecasting precision to both parametric and non-parametric methods. In the choice of the first we follow the approach of many applications in the literature and use the logit model (see for example, Li et al, 2010;Chen, 2011 andMin andJeong, 2009, among others). There are several reasons for such a choice.…”

“…Methodological approaches used in bankruptcy prediction can be broadly classified into statistical methods and artificial intelligence methods (Min and Jeong, 2009). The first group includes discriminant analysis (used in pioneering studies of Beaver (1996) and Altman (1968)) and binary-choice models like logit or probit.…”