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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.
Example of an Excel spreadsheet that uses Altman Z-score to predict the probability that a firm will go into bankruptcy within two years . The Z-score formula for predicting bankruptcy was published in 1968 by Edward I. Altman, who was, at the time, an Assistant Professor of Finance at New York University.
However, no mathematical model is 100% accurate, so while the O-score may forecast bankruptcy or solvency, factors both inside and outside of the formula can impact its accuracy. Furthermore, later bankruptcy prediction models such as the hazard based model proposed by Campbell, Hilscher, and Szilagyi in 2011 [5] have proven more accurate still ...
Pitney Bowes (NYS: PBI) carries $2.5 billion of goodwill and other intangibles on its balance sheet. Sometimes goodwill, especially when it's excessive, can foreshadow problems down the road.
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As of January 28, 2009, MapInfo and Group 1 Software were operating as one division called Pitney Bowes Business Insight. [12] On August 26, 2019, Pitney Bowes sold its software division (which includes MapInfo Professional) to Syncsort for $700 million in cash. The company is rebranded as Precisely in December 2019.
In 1950, Pitney Bowes initiated an advertising campaign in national publications with the message, "Metered mail makes the mailer's life easier". [9] In 1971, the company introduced a new logo, which represented the "intersection of paper-based and electronic communication". [9] Pitney Bowes was valued at around $18 billion in December 1998. [21]