Edward I Altman
New York University
Edward I. Altman is a Max L. Heine Professor of Finance and the Director of Research in Credit and Debt Markets at the Salomon Center for the Study of Financial Institutions at the New York University Stern School of Business. He received his MBA and PhD in Finance from the University of California, Los Angeles. Dr. Altman was named to the Max L. Heine endowed professorship at Stern in 1988. He is internationally recognized as an expert on corporate bankruptcy, high yield bonds, distressed debt, and credit risk analysis. He has been Chairman Emeritus and a member of the Board of Trustees of the Interschool Orchestras of New York, and a founding member of the Board of Trustees of the Museum of American Finance.
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This study continues the author’s examination and forecasts as to the impact of Covid-19 on the US credit cycle after one and a half years since the pandemic first began.
This paper adds to the literature on factors driving distress risk and the economic consequences of economic policy uncertainty, and it provides a basis for enterprises to respond to changes in policies.
Small and medium-sized enterprises that borrow from "alternative" lenders in the United Kingdom: who are they?
This study provides a general overview of the external financing landscape for the UK SMEs and an exploratory analysis of the SME portfolio of one of the alternative lenders in the United Kingdom.
The Covid-19 health crisis has dramatically affected just about every aspect of the economy, including the transition from a record long benign credit cycle to a stressed one, with still uncertain dimensions. This paper seeks to assess the credit climate…
A fifty-year retrospective on credit risk models, the Altman Z-score family of models and their applications to financial markets and managerial strategies
This paper reflects upon the evolution of the Altman family of bankruptcy prediction models, as well as their extensions and multiple applications in financial markets and managerial decision making.
This paper assesses the predictive ability of financial and nonfinancial variables for a long horizon in a large cross-sectional sample of Finnish firms