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contributor authorمهدی صالحیen
contributor authorMahmoud Mousavi Shirien
contributor authorMahdi Salehifa
date accessioned2020-06-06T13:31:12Z
date available2020-06-06T13:31:12Z
date issued2016
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/3358257?show=full
description abstractPurpose – Bankruptcy, stock price fluctuations and making decisions to invest on the listed

companies on the Tehran Stock Exchange show the need to have some tools for evaluating the financial

potential of companies. One of the tools for evaluating financial power to investment in companies is

using analysis of financial ratios and obtaining the patterns for predicting the bankruptcy of companies.

The purpose of this study is to modify the current patterns for predicting bankruptcy in proportion to

the environmental status of Iran and to present a new pattern for determining the bankruptcy of the

listed companies.

Design/methodology/approach – To modify the patterns and present a new pattern, in this

research, the hypotheses pertinent to the ability for right classification of the companies are designed by

the modified patterns of predicting the company’s bankruptcy and ranking, that is according to the

envelopment analysis method and by comparison of the results and presenting a new prediction

pattern.

Findings – The hypotheses test results show that modification of bankruptcy patterns and

presentation of a new bankruptcy pattern are confirmed by the data envelopment analysis.

Originality/value – The current paper is almost the first paper which combined several different

methods of bankruptcy prediction.
en
languageEnglish
titleDifferent bankruptcy prediction patterns in an emerging economy: Iranian evidenceen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsData envelopment analysisen
subject keywordsLogistic regressionen
subject keywordsBankruptcy prediction patternsen
subject keywords

Discriminative analysis
en
journal titleInternational Journal of Law and Managementfa
pages258-280
journal volume58
journal issue3
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1058417.html
identifier articleid1058417


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