TY  - BOOK
AU  - Lina Hassan Bassam
AU  - Hassan Mounir Elsady , 
AU  - Osama Abdelkhalek Elansary , 
TI  - Predicting financial distress for listed companies in the MENA region / 
PY  - 2019///
CY  - Cairo : 
PB  - Lina Hassan Bassam , 
KW  - Financial Distress
KW  - MENA
KW  - Prediction
N1  - Thesis (Ph.D.) - Cairo University - Faculty of Commerce - Department of Business Administration; Issued also as CD
N2  - Financial distress prediction gives an early warning about defaulting risk forfirms; thus, it is a real concern of the entire economy. Purpose: To examine the determinants of financial distress across MENA region countries, by using definitions of distress and historical data from active listed firms in the region. Methodology: logistic regression is run on firm-specific variables and a set of macroeconomic variables to develop a prediction model to examine the effect of these predictors on the probability of financial distress.  Findings: it has been found that after controlling for country effects, accounting ratios, firm size, and macroeconomic variables provided an acceptable prediction model for listed MENA firms.  Originality: a gap exists in the literature of developing countries{u2019} prediction for financial distress. Many studies addressed bankruptcy prediction for a certain country in the region, however, a limited number of researches approached predicting distressed models for listed firms in the region
UR  - http://172.23.153.220/th.pdf
ER  -