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Ronald Sverdlove

Ronald Sverdlove, PhD, is an assistant professor of finance at New Jersey Institute of Technology’s School of Management. His teaching and research focuses on fixed income securities, theoretical and empirical corporate finance, and credit risk modeling.

He has written more than a dozen individual and joint publications on various aspects of pure and applied mathematics and finance. Major current fields of research include debt seniority and the pricing of credit default swaps.

In 2006, Sverdlove won the award for the best dissertation proposal in fixed income research from the Financial Management Association and the Bond Market Association.

He has taught mathematics at Southern Illinois University, the Claremont Colleges, and the University of Notre Dame. In addition, he has taught in the business schools at Rutgers University (Newark and New Brunswick), Rider University, and the C.W. Post campus of Long Island University.

For more than 20 years, Sverdlove was a member of the technical staff at RCA Laboratories and its successor, the Sarnoff Corporation, where he developed computer models of electron beams for CRT design and worked as an applied mathematician on projects for government and industrial clients in a variety of areas, including image processing, drug discovery, and data compression.

He has written more than a dozen individual and joint publications on various aspects of pure and applied mathematics and finance. Major current fields of research include debt seniority and the pricing of credit default swaps.

Sverdlove received a doctorate in management, specializing in finance from the Rutgers Business School (Newark and New Brunswick).  He earlier received a doctorate in mathematics from Stanford University as a National Science Foundation Fellow. His master's degrees in mathematics, music, quantitative finance, and business Administration are from Stanford and Rutgers Universities. His bachelor's degree in mathematics is from Princeton University, magna cum laude and Phi Beta Kappa.

Last update: 10/14/08

Topics: income securities, empirical corporate finance, credit risk modeling, theoretical corporate finance