
معرفی
Kole Camaj is an Adjunct Instructor of Financial Management at Marymount Manhattan College, teaching graduate MBA courses including Financial Management in Healthcare and core Financial Management, alongside undergraduate courses in Sports Economics, Money and Banking, and Micro/Macroeconomics. With over 20 years of multidisciplinary experience spanning academia, private enterprise, politics, and UN operations, he specializes in organizational restructuring, M&A execution, and financial systems implementation.
His educational credentials feature:
- Scientific Teaching Fellow in STEM Certificate (Howard Hughes Medical Institute/Yale University)
- MBA in Finance, Economics, and Management (University of Rochester, Simon Graduate School, awarded Innovative Scholarship)
- MALD in Law and Diplomacy, magna cum laude (Tufts University Fletcher School, thesis: 'Why Meditation in Kosovo?')
- MA in Political Science (St. John's University)
- BA in Political Science, magna cum laude (CUNY John Jay College)
- Online Teaching Certificate (Pace University)
- French Language Studies (NYU)
- Russian Language Undergraduate Studies (University of Prishtina)
His research concentrates on international financial markets with emphasis on the Global Credit Crisis, deploying advanced quantitative methodologies across econometric modeling (Time Series, OLS), asset pricing (CAPM, Multi-index), interest rate structures (Vasicek, CIR), derivatives (Black-Scholes, Monte Carlo), risk analytics (VaR, KMV Merton), and portfolio optimization (Black-Litterman, Treynor-Black). He maintains expertise in implementing these models through Excel/VBA programming and financial engineering frameworks.
Professional recognition includes:
- Innovative Scholarship (University of Rochester MBA program)
His teaching methodology integrates real-world financial crisis analysis with hands-on modeling techniques, particularly in healthcare finance and securities valuation. Current professional activities center on contemporary market dynamics and credit risk assessment frameworks.



