Corporate bankruptcy forecasting is a vast area of finance and accounting research that seeks to predict bankruptcy and various measures of financial distress in public firms. It is an important indicator, which assists the investors and policy makers in taking proactive measures to minimize the impact of bankruptcies. In modern economies, banks, retail investors, institutional investors and lenders keep searching for information that can forecast financial distress in public firms. Bankruptcy prediction helps in better allocation of resources. It helps in highlighting the issues in businesses to provide business managers with additional time for taking corrective measures to avoid bankruptcy. In recent years, researchers have developed machine learning algorithms, which use financial ratios for the prediction of bankruptcy. This book outlines the key concepts of bankruptcy prediction in detail. A number of latest researches have been included to keep the readers up-to-date with the global concepts in this area of study.