Indicators of corporate financial distress evidence from india

Abstract

The study aims to identify the indicators of corporate financial distress in the Indian industrial sector. The study begins by analysing the corporate bankruptcy filings and the outcomes of filings under the Insolvency and Bankruptcy Code (IBC), 2016. From the analysis of bankruptcy filings, a newlinelist of 82 publicly listed companies of industrial nature experiencing financial distress that have filed for bankruptcy under IBC is identified. Each of the 82 companies are paired with an equal number of matching newlinefinancially sound companies to form a sample of 164 companies. Further, 12 variables from the annual reports of the sample companies are analysed for a period of five years immediately preceding the bankruptcy filing by the distressed companies. Simple regression analysis is employed for determining the primary indicator of corporate financial distress and logistic regression analysis is used to identify the supplementary indicator of corporate financial distress in the Indian industrial sector. The primary and the supplementary indicators are presented in the form of a two-stage process to form the Corporate Distress Prediction (CDP) scorecard. The newlinerecommended CDP scorecard predicts financial distress in the Indian industrial sector at an accuracy ranging between 90 percent to 100 percent during the five years of study. The major implication of the study is that it newlinecan guide the corporate stakeholders in knowing the financial health of a newlinecompany.