Financial Services Beyond Banking: Corporate Failure Prediction

Joseph C. Paradi, H. David Sherman and Fai Keung Tam
Additional contact information
Joseph C. Paradi: University of Toronto
H. David Sherman: Northeastern University
Fai Keung Tam: University of Toronto

Chapter Chapter 17 in Data Envelopment Analysis in the Financial Services Industry, 2018, pp 283-311 from Springer

Abstract: Abstract The problem of predicting corporate failures and bankruptcies has been an important concern for investors, executives and business partners. The owners of the bankrupt firm suffer legal, financial and personal consequences (e.g. damage to their reputation and business relationships, and difficulty in obtaining credit in the future) and the effect on the firm’s employees. Furthermore, owners can use this information to potentially take corrective action and prevent failure.

Keywords: Predicting Corporate Failure; Bankrupt Firms; Decision-making Unit (DMUs); Scoria Layers; Second-stage Model (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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:isochp:978-3-319-69725-3_17

Ordering information: This item can be ordered from
http://www.springer.com/9783319697253

DOI: 10.1007/978-3-319-69725-3_17

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().