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 flows, as well as two important market factors which are size and idiosyncratic standard deviation of eac...

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Main Authors: Hamid Waqas, Rohani Md-Rus
Format: Article
Language:English
Published: Taylor & Francis Group 2018-01-01
Series:Cogent Economics & Finance
Subjects:
Online Access:http://dx.doi.org/10.1080/23322039.2018.1545739
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spelling doaj-49770d921e1c4b8386df016002bbb0fc2021-02-18T13:53:25ZengTaylor & Francis GroupCogent Economics & Finance2332-20392018-01-016110.1080/23322039.2018.15457391545739Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firmsHamid Waqas0Rohani Md-Rus1Universiti Utara MalaysiaUniversiti Utara MalaysiaThis 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 flows, as well as two important market factors which are size and idiosyncratic standard deviation of each firm’s stock returns (SIG). The sample consists of 290 firms stretching from 2007 to 2016 and logit regression is applied to predict financial distress. The findings reveal that profitability, liquidity, leverage, cash flow ratios, and firm size are significant, while SIG is insignificant in predicting financial distress. Results of the estimated logit model I, model II, and holdout model reveal that the models perform consistently. This study contributes to the literature by testing the market variables in relation to financial distress as these variables were ignored by the previous studies in Pakistan. Findings of this study are precise as the study covers a longer time horizon and a larger sample size.http://dx.doi.org/10.1080/23322039.2018.1545739financial distressbankruptcylogit regressionfinancial ratioscash flow ratiosmarket variablesemerging marketpakistan
collection DOAJ
language English
format Article
sources DOAJ
author Hamid Waqas
Rohani Md-Rus
spellingShingle Hamid Waqas
Rohani Md-Rus
Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms
Cogent Economics & Finance
financial distress
bankruptcy
logit regression
financial ratios
cash flow ratios
market variables
emerging market
pakistan
author_facet Hamid Waqas
Rohani Md-Rus
author_sort Hamid Waqas
title Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms
title_short Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms
title_full Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms
title_fullStr Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms
title_full_unstemmed Predicting financial distress: Importance of accounting and firm-specific market variables for Pakistan’s listed firms
title_sort predicting financial distress: importance of accounting and firm-specific market variables for pakistan’s listed firms
publisher Taylor & Francis Group
series Cogent Economics & Finance
issn 2332-2039
publishDate 2018-01-01
description 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 flows, as well as two important market factors which are size and idiosyncratic standard deviation of each firm’s stock returns (SIG). The sample consists of 290 firms stretching from 2007 to 2016 and logit regression is applied to predict financial distress. The findings reveal that profitability, liquidity, leverage, cash flow ratios, and firm size are significant, while SIG is insignificant in predicting financial distress. Results of the estimated logit model I, model II, and holdout model reveal that the models perform consistently. This study contributes to the literature by testing the market variables in relation to financial distress as these variables were ignored by the previous studies in Pakistan. Findings of this study are precise as the study covers a longer time horizon and a larger sample size.
topic financial distress
bankruptcy
logit regression
financial ratios
cash flow ratios
market variables
emerging market
pakistan
url http://dx.doi.org/10.1080/23322039.2018.1545739
work_keys_str_mv AT hamidwaqas predictingfinancialdistressimportanceofaccountingandfirmspecificmarketvariablesforpakistanslistedfirms
AT rohanimdrus predictingfinancialdistressimportanceofaccountingandfirmspecificmarketvariablesforpakistanslistedfirms
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