Predicting financial distress: Applicability of O-score model for Pakistani firms

Hamid Waqas · Rohani Md-Rus

24 citations0/0 files storedBusiness and Economic Horizons

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Financial Distress and Bankruptcy Prediction Corporate Finance and Governance Corporate Insolvency and Governance

Abstract

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 admired financial distress prediction O-score model and compares its predictive accuracy with estimated logit model. The study estimates logit model by including the profitability ratios, liquidity ratios, leverage ratios, and cash flow ratios. This study filled the gap by using the cash flow ratios to predict financial distress for Pakistani listed firms. The sample for the estimation model consists of 290 firms with 45 distressed and 245 healthy firms for the period 2006-2016 and covers all sectors of Pakistan Stock Exchange. The study provides important insights on the role of different financial ratio in predicting financial distress and shows that estimated logit model produces higher accuracy rate in predicting financial distress.

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 1980Financial Ratios and the Probabilistic Prediction of Bankruptcy 1966Financial Ratios As Predictors of Failure 1984Methodological Issues Related to the Estimation of Financial Distress Prediction Models 2001Forecasting Bankruptcy More Accurately: A Simple Hazard Model 2008In Search of Distress Risk 1994Financial Distress and Corporate Performance 1972A Discriminant Analysis of Predictors of Business Failure

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