Description
Taylor and Francis Ltd Distress Risk and Corporate Failure Modelling 1st Edition 2022 Softbound by Jones, Stewart
An easy to read by "state of the art" text containing a comprehensive review and analysis of existing corporate bankruptcy models, and their applications to real life data_x000D_Covers a broad range of statistical learning models, ranging from relatively linear techniques (e.g. linear discriminant analysis) to state-of the art machine learning methods (e.g. random forests, deep learning)._x000D_Explains the purpose, strength and limitations of respective models and frameworks, highlighting their major points of similarity and difference and would make this book a useful reference _x000D_Much of the corporate bankruptcy literature has relied on quite simplistic classification models but this book introduces a wide range of innovative corporate bankruptcy prediction models_x000D_ _x000D_
1. The Relevance and Utility of Distress Risk and Corporate Failure Forecasts 2. Searching for the Holy Grail: Alternative Statistical Modelling Approaches 3. The Rise of the Machines 4. An Empirical Application of Modern Machine Learning Methods 5. Corporate Failure Models for Private Companies, Not-for Profits, and Public Sector Entities 6. Whither Corporate Failure Research?_x000D_