JCR 11 2 Authors

The Journal of Credit Risk

Volume 11, Issue 2


Austin Murphy

Austin Murphy received his Ph.D. in finance from the University of Georgia in 1984 and has been a professor of finance at Oakland University ever since. He has had about 100 of his articles published in peer-reviewed finance journals, as well as had over a dozen of his books published (including seven editions of his Scientific Investment Analysis, which includes a practical method for subjectively evaluating the credit of a company). He was a Visiting Scholar at the Federal Home Loan Board in 1988-89, was a Fulbright Professor at the Free University of Berlin in 1989-90, and has served as a financial consultant in various capacities.





Liang Fu

Dr. Fu earned her Bachelor of Arts in International finance from Southwestern University of Finance and Economics in China in 1998. She earned her Master of Arts in economics from Kent State University in 2001. She had multiple working experiences in the banking industry before she joined the Ph.D. program of Fisher School of Accounting at the University of Florida. She received her degree of Doctor of Philosophy in Accounting in 2009. Her research focuses on managerial incentives, information economics, and risk analysis. Her work has been published in the Journal of Credit Risk, International Research Journal of Applied Finance, International Journal of Business and Economics, Journal of Investing, Credit and Capital Markets, Journal of Behavioral Finance & Economics, and LAP Lambert Academic Publishing. She currently teaches Cost Accounting and Managerial Accounting Systems at Oakland University.




Ha-Thu Nguyen

Ha-Thu Nguyen, graduated with two Master's degrees in Finance and Econometrics from Université Paris Dauphine (ranked 3rd in class) and Université Paris Ouest Nanterre La Défense (ranked 1st in class). She is currently a Ph.D. student at Université Paris Ouest Nanterre La Défense (EconomiX research center). From a theoretical point of view, her research focuses on different credit risk modeling techniques. From an empirical perspective, she uses real and extensive sets of data taken from different countries to describe how these techniques can be applied to real life.





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