MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641028728 A) filed by Dr. Tisa Maria Antony; and Tijo Thomas, Palakkad, Kerala, on March 11, for 'a predictive model for assessing financial distress risk in indian listed companies.'
Inventor(s) include Dr. Tisa Maria Antony; and Tijo Thomas.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "Financial downturns are a normal part of a company's long-term activity, and problems can usually be identified and solved in time. Financial difficulties can be predicted using various models. To help businesses avoid financial problems, it's essential to analyze information about the country, industry, and company's economic situation. This can help companies detect potential threats and take action to prevent financial crises. The invention provides a method for predicting financial distress in Indian listed companies using panel data regression models. Using a 10-year dataset, the method analyzes 2,591 companies, and financial distress is measured using Altman's Z-score and Ohlson's O-score. The analysis employs Pooled OLS, Fixed Effects, and Random Effects models. Key predictors include firm age, ROA, liquidity, and CAR. The method, implemented in Python, offers a data-driven tool for investors, analysts, and policymakers to assess financial distress risk in Indian companies."
Disclaimer: Curated by HT Syndication.
