Logistic Financial Crisis Early-Warning Model Subjoining Nonfinancial Indexes for Listed Companies

Shao-fang Ding (), Ying-chao Hou () and Pei-pei Hou ()
Additional contact information
Shao-fang Ding: Beijing Polytechnic
Ying-chao Hou: NCUT
Pei-pei Hou: Xi’an Jiaotong University

Chapter Chapter 72 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 685-696 from Springer

Abstract: Abstract The occurrence of financial crisis is related with financial factors. Many nonfinancial ones also contain important information relevant to the occurrence of financial crisis. If merely financial factors are taken into consideration, much useful information will be lost. Thus, the early-warning capacity of the model will be reduced. What’s more, we will fail to learn the cause for the occurrence of financial crisis at a more profound level. It is imperative to draw nonfinancial index into the study of financial crisis early-warning and build a more effective and more complete financial crisis early-warning model. The paper introduces not only financial index, but also nonfinancial index including enterprise ownership structure, corporate governance, and major item, etc, while it takes a preliminary identification and screening about the study sample, paired sample and early-warning indicators. Then we set up enterprise’s financial crisis early-warning model to complete the warning index system.

Keywords: Financial crisis early-warning; Nonfinancial indexes; Logistic regression; Factor analysis (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_72

Ordering information: This item can be ordered from
http://www.springer.com/9783642383915

DOI: 10.1007/978-3-642-38391-5_72

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().