Profitability and Liquidity Tribulations Leads to Financial Distress: Cases of Public Sector Engineering Companies in Kerala

Financial distress is a situation where a company is not able to meet or face difficulty to pay off its financial obligations. According to RBI’s definition negative working capital, cash loss and negative networth are the factors influencing Distresses. There are lots of causes of corporate failure which includes Profitability, Liquidity and solvency complications. Bankruptcy prediction models are among the techniques and tools for predicting future status of companies which can estimate the bankruptcy probability by compounding a set of financial ratios. This research paper has attempted to device models for predicting probability of financial distresses among the PSUs working under the Engineering sector in Kerala. In order to evaluate the ratios that can influence group status and quantify their connection, Multiple Logistic Regression analysis tool is used. The main uses of logistic regression are that prediction of group membership and provide knowledge of the relationships and strength among the variables.

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Publication Details

Journal
RESEARCH REVIEW International Journal of Multidisciplinary
Published
2025-04-20
DOI
https://doi.org/10.31305/rrijm.2025.v10.n4.010
Primary Topic
Working Capital and Financial Performance
Type
article
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article

Profitability and Liquidity Tribulations Leads to Financial Distress: Cases of Public Sector Engineering Companies in Kerala

Kundan Kumar, Deepamol Isac
RESEARCH REVIEW International Journal of Multidisciplinary
Working Capital and Financial Performance
article

Profitability and Liquidity Tribulations Leads to Financial Distress: Cases of Public Sector Engineering Companies in Kerala

Kundan Kumar, Deepamol Isac
article en

Abstract

Financial distress is a situation where a company is not able to meet or face difficulty to pay off its financial obligations. According to RBI’s definition negative working capital, cash loss and negative networth are the factors influencing Distresses. There are lots of causes of corporate failure which includes Profitability, Liquidity and solvency complications. Bankruptcy prediction models are among the techniques and tools for predicting future status of companies which can estimate the bankruptcy probability by compounding a set of financial ratios. This research paper has attempted to device models for predicting probability of financial distresses among the PSUs working under the Engineering sector in Kerala. In order to evaluate the ratios that can influence group status and quantify their connection, Multiple Logistic Regression analysis tool is used. The main uses of logistic regression are that prediction of group membership and provide knowledge of the relationships and strength among the variables.

RESEARCH REVIEW International Journal of MultidisciplinaryVol. 10(4)
Mahatma Gandhi University (IN)
Openalex Percentile: Top 87%
Working Capital and Financial Performance
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Profitability and Liquidity Tribulations Leads to Financial Distress: Cases of Public Sector Engineering Companies in Kerala — Kundan Kumar, Deepamol Isac · RESEARCH REVIEW International Journal of Multidisciplinary (2025) | TGRS Research Map | TGRS