Jeff Seungmo Hong

Picture of Jeff (Seungmo) Hong

Associate Professor
Business Management


Office: F-730L

Office Hours: Consult my on-line syllabi.

Phone: +1 (212) 220-8388

Dr. Hong is an expert in statistics, quantitative methods, probability and stochastic processes, macro finance, international economics, financial engineering, finance and banking, applied mathematics, and computing and technology. He holds a PhD in Economics from Fordham University and an M.A. in International Studies from the University of Denver.

Besides serving as referee for Comparative Economics Studies in 2014, Dr. Hong has also served as reviewer on Business Administration Panel for PSC-CUNY University Committee on Research Grants (UCRA) since 2012.


Statistics, Scientific reasoning, Scientific Literacy , Quantitative Reasoning, Quantitative Methods, Probability and Stochastic Processes, Probability & Statistics, Probability, Management, Macro Finance, Machine Learning, International Finance, International Economics, Financial Engineering, Finance and Banking , Differential Equations, Computing and Technology, Computer Programming, Applied Statistics, Applied Mathematics


  • B.A. Hankuk Univeristy of Foreign Studies, Liberal Arts (French),1984
  • M.A. Hankuk University of Foreign Studies, Linguistics,1988
  • M.A. Univeristy of Denver, International Studies,1994
  • Ph.D. Fordham University, Economics,2000

Courses Taught

Research and Projects

  • Agency Problem and Moral Hazard in the Current Financial Crisis


Honors, Awards and Affiliations

  • Journal Referee – Comparative Economic Studies, Palgrave McMillan

    Reviewed manuscripsts for publication in the Comparative Economic Studies, Palgrave McMillan,  2014

  • Dean’s Scholar

  • Dean’s Scholar

  • Presidential Scholar

  • College Fed Challenge Judge

    Served as a judge at NY FRB College Fed Challenge 11/05/2013.

  • Business Administration Panel for the PSC-CUNY University Committee on Research Grants (UCRA)

    Served on the Business Administration Panel for the PSC-CUNY University Committee on Research Grants (UCRA) during the 2014 – 2017 period.

Additional Information

Computer Skills

  • Econometric/ Statistical S/W’s: Gauss, SAS, Eviews, SYSTAT, MAPLE IV: S+
  • Other S/W’s: Word, Excel, Access, Power point, Lotus, D-Base, HTML