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Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.

Economics, finance, business & management --- ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.

Economics, finance, business & management --- ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model --- ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model