Do traditional financial distress prediction models predict the early warning signs of financial distress?
Purpose: This study aims to compare the prediction accuracy of traditional distress
prediction models for the firms which are at an early and advanced stage of distress in an …
prediction models for the firms which are at an early and advanced stage of distress in an …
[PDF][PDF] Identifying Financial distress firms: a case study of Malaysia's government linked companies (GLC)
The unhealthy financial state can be a massive and can cause long term distress which can
result to restrictions of investments activities, capital flows and performance of firms. Thus it …
result to restrictions of investments activities, capital flows and performance of firms. Thus it …
Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan's listed firms
This study is intended to identify the predictors of financial distress for the Pakistani firms.
Variables used are the financial ratios representing profitability, liquidity, leverage, and cash …
Variables used are the financial ratios representing profitability, liquidity, leverage, and cash …
A cross model study of corporate financial distress prediction in Taiwan: Multiple discriminant analysis, logit, probit and neural networks models
TH Lin - Neurocomputing, 2009 - Elsevier
In 2008, financial tsunami started to impair the economic development of many countries,
including Taiwan. The prediction of financial crisis turns to be much more important and …
including Taiwan. The prediction of financial crisis turns to be much more important and …
A review of financial distress prediction models: logistic regression and multivariate discriminant analysis
E Ul Hassan, Z Zainuddin… - Indian-Pacific Journal of …, 2017 - ipjaf.omjpalpha.com
In corporate finance, the early prediction of financial distress is considered more important
as another occurrence of business risks. The study presents a review of literature for early …
as another occurrence of business risks. The study presents a review of literature for early …
Real earnings management and financial statement fraud: evidence from Malaysia
Purpose We examine whether the fraud firms are engaged in real earnings management
and accrual earnings management prior to the fraud year in the Malaysian context …
and accrual earnings management prior to the fraud year in the Malaysian context …
[PDF][PDF] Dividend payout policy, investment opportunity set and corporate financing in the industrial products sector of Malaysia
HS Ardestani, SZA Rasid, RBM Mehri - Journal of applied finance …, 2013 - scienpress.com
There are various factors that influence dividend payout policy of corporations; investment
opportunity set and corporate financing are among the important ones. Numerous studies …
opportunity set and corporate financing are among the important ones. Numerous studies …
[PDF][PDF] Empirical model for predicting financial failure
BY Almansour - American journal of economics, finance and …, 2015 - academia.edu
From year to year, strong attention has been paid to the study of the problems of predicting
firms' bankruptcy. Bankruptcy prediction is an essential issue in finance especially in …
firms' bankruptcy. Bankruptcy prediction is an essential issue in finance especially in …
Corporate failure prediction: a study of public listed companies in Malaysia
SW Ong, V Choong Yap, RWL Khong - Managerial Finance, 2011 - emerald.com
Purpose–The objective of this paper is to develop a model that can predict financial distress
amongst public listed companies in Malaysia using the logistic regression analysis …
amongst public listed companies in Malaysia using the logistic regression analysis …
Predicting financial distress: Applicability of O-score and logit model for Pakistani firms
Predicting financial distress have significant importance in corporate finance as it serves as
an effective early warning system for the related stakeholders. The study applies the most …
an effective early warning system for the related stakeholders. The study applies the most …