There are many bankruptcy prediction models being developed over the last four decades. These models, however, are susceptible to a relatively high proportion of Type II errors, which means misclassifying a firm as a potential bankruptcy candidate. The failure to correctly identify potential turnaround firms could incur avoidable losses as a result of firms not being able to attain the funding or loans necessary to enact a recovery. Therefore, the aim of this research study is to examine different predictors for corporate turnaround. A model will then be developed which could help to identify those financially distressed firms that have recovery or turnaround potential in the Singapore context.Based on the financial data of 703 publicly-...
A fundamental theory in investment is the concept of risk and return. Investors carefully consider t...
The present study, according to our knowledge, is the first attempt to establish a financial distres...
This study compares three methodologies for identifying financially distressed companies, multiple d...
There are many bankruptcy prediction models being developed over the last four decades. These models...
The objective of this paper is to examine the possibility of predicting the recovery of a distressed...
( under the provisions of Practice Note 17, issued by the Bursa Malaysia on 3 January 2005, 31 publ...
The objective of this paper is to examine the possibility of predicting the recovery of a distressed...
The aims of this study are twofold: (1) to formulate a model that predicts corporate financial distr...
The purpose of this research is to extent the bankruptcy prediction model to predict financial dist...
The development of corporate financial disturbance prediction models plays an essential role in the ...
This paper develops bankruptcy prediction model of considerable efficiency for firms listed and trad...
Purpose: This study aims to compare the prediction accuracy of traditional distress prediction model...
Purpose This study seeks to identify financial characteristics that can be employed to assess and p...
This study is to develop a financial prediction equation that based on public listed companies in Ma...
The advent of the Asian Financial Crisis (AFC) in the Southeast Asia in 1997 is an appealing case fo...
A fundamental theory in investment is the concept of risk and return. Investors carefully consider t...
The present study, according to our knowledge, is the first attempt to establish a financial distres...
This study compares three methodologies for identifying financially distressed companies, multiple d...
There are many bankruptcy prediction models being developed over the last four decades. These models...
The objective of this paper is to examine the possibility of predicting the recovery of a distressed...
( under the provisions of Practice Note 17, issued by the Bursa Malaysia on 3 January 2005, 31 publ...
The objective of this paper is to examine the possibility of predicting the recovery of a distressed...
The aims of this study are twofold: (1) to formulate a model that predicts corporate financial distr...
The purpose of this research is to extent the bankruptcy prediction model to predict financial dist...
The development of corporate financial disturbance prediction models plays an essential role in the ...
This paper develops bankruptcy prediction model of considerable efficiency for firms listed and trad...
Purpose: This study aims to compare the prediction accuracy of traditional distress prediction model...
Purpose This study seeks to identify financial characteristics that can be employed to assess and p...
This study is to develop a financial prediction equation that based on public listed companies in Ma...
The advent of the Asian Financial Crisis (AFC) in the Southeast Asia in 1997 is an appealing case fo...
A fundamental theory in investment is the concept of risk and return. Investors carefully consider t...
The present study, according to our knowledge, is the first attempt to establish a financial distres...
This study compares three methodologies for identifying financially distressed companies, multiple d...