A Survey of Research on Efficiency of Insolvency/Bankruptcy Institutions and Financial Distress
- DOI
- 10.2991/978-94-6463-246-0_4How to use a DOI?
- Keywords
- bankruptcy; financial distress; debt
- Abstract
This paper is a survey on the efficiency and financial distress of bankrupt institutions. This paper is divided into three parts: theoretical summary, empirical literature summary and discussion. A total of 11 papers on bankruptcy and financial distress are extracted and summarized, and the most important papers for this paper are discussed and selected. The theoretical summary part covers most of the professional terms needed in this paper and their meanings. The Multiple Discriminant Analysis part mainly uses the Z model. The Z score model is a technology based on multivariate statistical methods. It uses a sample of bankrupt companies to analyze and distinguish the operating status of each company and whether it is bankrupt. In this paper, it is mainly to analyze the two models of Model A and Model B to come up with a mathematical range to determine whether the company can file for bankruptcy, the probability of bankruptcy and whether the value is beneficial to the company.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yuwen Zhou AU - Zeyu Qi AU - Shixuan Jiang PY - 2023 DA - 2023/09/26 TI - A Survey of Research on Efficiency of Insolvency/Bankruptcy Institutions and Financial Distress BT - Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023) PB - Atlantis Press SP - 23 EP - 33 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-246-0_4 DO - 10.2991/978-94-6463-246-0_4 ID - Zhou2023 ER -