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Matthew P. Richardson
Charles Simon Professor of Applied Financial Economics
Sidney Homer Director, Salomon Center for Research in Financial Institutions and Markets Professor of Finance Joined Stern: 1995
Leonard N. Stern School of Business
Tisch Hall
40 West 4th Street, Room 914 New York, NY 10012
Email:
mrichar0@stern.nyu.edu
Research, publications, honors, and more
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- Debt Markets and Instruments
- Debt Markets and Instruments-Q
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- Fixed Income
- Derivatives
- Financial Econometrics
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Academic Background
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| PhD, Finance, 1989 | Stanford | | MS, Economics, 1984 | UCLA | | BA, Economics, 1984 | UCLA |
Biography
Matthew Richardson is a Professor of Finance at the Leonard N. Stern School of Business at New York University, and a Research Associate of the National Bureau of Economic Research. He has also held the title of Assistant Professor of Finance at The Wharton School of Business at the University of Pennsylvania. Professor Richardson received his Ph.D in Finance from Stanford University and his MA and BA in Economics concurrently from University of California at Los Angeles.
Professor Richardson teaches classes at the MBA, executive and PhD level. His MBA classes cover Debt Instruments and Markets and International Fixed Income. He is serving or has served as associate editor for the Review of Financial Studies, Journal of Finance and Journal of Financial and Quantitative Analysis. He has been a referee for over 20 academic journals, including Econometrica, Journal of Finance, Journal of Financial Economics, Review of Financial Studies and American Economic Review. In 1997 Professor Richardson was awarded the Rosenthal Award for Financial Innovation.
Professor Richardson has published papers in a variety of top academic journals, including, among others, Journal of Finance, Journal of Financial Economics, Review of Financial Studies, and the American Economic Review. His work has also appeared in practitioner journals and books such as Advanced Tools for the Fixed Income Professional, Emerging Market Capital Flows, and VAR: Understanding and Applying Value-at-Risk.
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