Volume 3, Issue 8 (6-2012)                   jemr 2012, 3(8): 1-21 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mohammadzadeh P, Jalili Marand A. Prediction of Bankruptcy Using Mixed Logit Model. jemr 2012; 3 (8) :1-21
URL: http://jemr.khu.ac.ir/article-1-411-en.html
1- Tabriz University
2- Tabriz University , Alireza.jalili.m@gmail.com
Abstract:   (10403 Views)
There are a lot of techniques and methods for prediction of bankruptcy among them “Statistical methods” or econometrics techniques are more popular. As dependent variable in our study is qualitative it is convenient to use qualitative discrete models. Mixed Logit model is one of the powerful and flexible techniques of discrete choices that allow the coefficients to be random with distribution function. Explanatory variables are financial ratios which derived from Zmijewski’s model. The sample data are from Tehran Stock Exchange’s Brokerage Companies during 2001-2008. We selected two random samples, one for estimation and another for prediction power test. Results show that the degree of successfulness of the model is over 90 percent.
Full-Text [PDF 577 kb]   (5400 Downloads)    
Type of Study: Applicable | Subject: پولی و مالی
Received: 2012/03/14 | Accepted: 2012/11/5 | Published: 2012/09/15

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Journal of Economic Modeling Research

Designed & Developed by : Yektaweb