scholarly journals The impact of board of directors’ characteristics on financial distress: Empirical evidence from Egypt using logit and discriminant analysis models.

Author(s):  
سارة صبحی محمد
2016 ◽  
Vol 3 (2) ◽  
pp. 162
Author(s):  
Mahdi Filsaraei ◽  
Reza Jarrahi Moghaddam

Given the importance of corporate governance for increasing the monitoring of company operations, i.e., reducing information asymmetry and increasing control over operations, in this study, we investigate some indicators of corporate governance and financial distress as one of the most important criteria in the decisions of the users of financial statements. Corporate governance Indicators that have been mentioned in this study, including the independence of the board of directors (the ratio of non-executive members), institutional investors and duality of CEO and Chairman of the Board of Directors. This study is applied research and the required information is gathered from financial statements of listed companies on the TSE. Using a sample of 82 company stock during the period 2010-2014 and multivariate regression analysis, the results of the analysis of information gathered indicates that institutional ownership reduces the financial distress. However, there was no significant relationship between board independence (proportion of outside board members) and the duality of CEO and Chairman of the Board with the financial distress. The results also indicate that financial leverage and a qualified audit opinion increases financial distress and firm size and management performance reduces it.


2021 ◽  
Vol 18 (3) ◽  
pp. 260-276
Author(s):  
Mohamed Habachi ◽  
Salim El Haddad

This study proposed a method for constructing rating tools using logistic regression and linear discriminant analysis to determine the risk profile of SME portfolios. The objective, firstly, is to evaluate the impact of the crisis due to the Covid-19 by readjusting the profile of each company by using the expert opinion and, secondly, to evaluate the efficiency of the measures taken by the Moroccan state to support the companies during the period of the pandemic. The analysis in this paper showed that the performance of the logistic regression and linear discriminant analysis models is almost equivalent based on the ROC curve. However, it was revealed that the logistic regression model minimizes the risk cost represented in this study by the expected loss. For the support measures adopted by the Moroccan government, the study showed that the failure rate (critical situation) of the firms benefiting from the support is largely lower than that of the non-beneficiaries.


2019 ◽  
Vol 3 (2) ◽  
pp. 214-225
Author(s):  
Fitratul Firda Amaliah ◽  
Arif Darmawan

This study aims to provide empirical evidence on the impact of profitability on the correlation cash conversion cycle  to financial distress. The population in this study is a manufacturing company listed on the Indonesia Stock Exchange period 2010 to 2016 with a total sample of 9 companies. The sample collection method using purposive sampling and the testing measurement used was regression analysis. The result of this study proves that the cash conversion cycle affect positive to financial distress and profitability able to moderate the relationship between the cash conversion cycle to financial distress.


Author(s):  
Hotman T Pohan

<em>This research is designed to examine Tobin'Q Model and Discrimirnant Anal;ysis for implelementating in take over process or aquisition. We want to get empirical evidence the application of the Tobin'Q Model and Discriminant Analysis models in take over process in Jakarta Stock Exchange during 2005. The result of this research are ROE has significant differenctiation at level 0,05 so this ratio to be paid attention, in level 0,01 D/E is significant, but PER is not significant. Discriminrant Model that resulted of the research is Z = -0,036 + 0,22 ROE, and the model could use as guidance for aquisition.</em>


2020 ◽  
Vol 104 ◽  
pp. 102376
Author(s):  
Kaixing Huang ◽  
Hong Zhao ◽  
Jikun Huang ◽  
Jinxia Wang ◽  
Christopher Findlay

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