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The Ohlson O-score for predicting bankruptcy is a multi-factor financial formula postulated in 1980 by Dr. James Ohlson of the New York University Stern Accounting Department as an alternative to the Altman Z-score for predicting financial distress.
Bankruptcy prediction is the art of predicting bankruptcy and various measures of financial distress of public firms. It is a vast area of finance and accounting research. The importance of the area is due in part to the relevance for creditors and investors in evaluating the likelihood that a firm may go bankrupt.
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The Z-score is a linear combination of four or five common business ratios, weighted by coefficients. The coefficients were estimated by identifying a set of firms which had declared bankruptcy and then collecting a matched sample of firms which had survived, with matching by industry and approximate size (assets).
Of course, filing for bankruptcy doesn’t necessarily mean a business is going bust. Companies tend to use the Chapter 11 process to wind down some operations, tackle mounting debt and save on ...
Edward I. Altman [1] [2] [3] (born June 5, 1941) is a Professor of Finance, Emeritus, at New York University's Stern School of Business.He is best known for the development of the Altman Z-score for predicting bankruptcy which he published in 1968.
Altman Z-score; Ohlson O-score; Book value; Debt-to-equity ratio; Debt-to-capital ratio; Current ratio; Quick ratio; Debt ratio; Real estate Capitalization rate; Gross rent multiplier; Sales comparison approach. Real estate appraisal § The sales comparison approach; Cash on cash return; Equity Financial ratio; Market-based valuation; Valuation ...
C. Chan–Karolyi–Longstaff–Sanders process; Concentration risk; Constant maturity credit default swap; Consumer credit risk; Contingent convertible bond