Distress Risk and Corporate Failure Modelling: The State of the Art (Routledge Advances in Management and Business Studies)

Synopsis

This book is an introduction text to distress risk and corporate failure modelling techniques. It illustrates how to apply a wide range of corporate bankruptcy prediction models and, in turn, highlights their strengths and limitations under different circumstances. It also conceptualises the role and function of different classifiers in terms of a trade-off between model flexibility and interpretability. Jones's illustrations and applications are based on actual company failure data and samples. Its practical and lucid presentation of basic concepts covers various statistical learning approaches, including machine learning, which has come into prominence in recent years. The material covered will help readers better understand a broad range of statistical learning models, ranging from relatively simple techniques, such as linear discriminant analysis, to state-of-the-art machine learning methods, such as gradient boosting machines, adaptive boosting, random forests, and deep learning. The book’s comprehensive review and use of real-life data will make this a valuable, easy-to-read text for researchers, academics, institutions, and professionals who make use of distress risk and corporate failure forecasts.

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

Book Size:

230 Pages

ISBN-13:

9781317225362

Related ISBNs:

9781315623221, 9781138652507, 9781138652491

Publisher:

Taylor and Francis

Date of Addition:

09/15/22

Copyrighted By:

Stewart Jones, The right of Stewart Jones to be identified as author of this work has been asserted in accordance with sections

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Business and Finance

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.