Curriculum: Quantitative Research Methods

E-books, modeling file downloads, and one-year software licenses are provided to support the 28 hands-on instructional videos (12 hours)

  • 1

    Unit 1: Course Intro and BizStats & Risk Simulator Introductions (90 min)

    • Welcome

    • Course Overview in a Nutshell (40 min)

    • Course Introduction and ROV BizStats Overview (23 min)

    • Risk Simulator Introduction (27 min)

  • 2

    Unit 2: Epistemology, Theory, Research Basics, Sampling Theory, and Qualitative Research (40 min)

    • Epistemology and Theory (20 min)

    • Research Basics, Sampling Theory, and Qualitative Research (20 min)

  • 3

    Unit 3: Design of Experiments and Research Layout (50 min)

    • Design of Experiments (24 min)

    • Research Layout (26 min)

  • 4

    Unit 4: Overview of Quantitative Methods (15 min)

    • Overview of Quant Methods (15 min)

  • 5

    Unit 5: Descriptive Statistics and Correlations (50 min)

    • Descriptive Statistics (27 min)

    • Correlations (23 min)

  • 6

    Unit 6: Basic Probability and Bayes Theorem (25 min)

    • Basic Probability and Bayes Theorem (25 min)

  • 7

    Unit 7: Discrete Probability Distributions (25 min)

    • Discrete Probability Distributions (25 min)

  • 8

    Unit 8: Continuous Probability Distribution (25 min)

    • Continuous Probability Distribution (25 min)

  • 9

    Unit 9: Hypothesis Testing (25 min)

    • Hypothesis Testing (25 min)

  • 10

    Unit 10: ROV BizStats Software (20 min)

    • ROV BizStats Software (20 min)

  • 11

    Unit 11: Parametric Methods (30 min)

    • Parametric Methods (30 min)

  • 12

    Unit 12: Nonparametric Methods (25 min)

    • Nonparametric Methods (25 min)

  • 13

    Unit 13: Multiple Regression (35 min)

    • Multiple Regression, Stepwise Regression, Functional Forms, and Basic Econometrics (35 min)

  • 14

    Unit 14: Validity and Reliability (40 min)

    • Validity and Reliability (40 min)

  • 15

    Check In & Review

    • Manual Computations: T-Tests, ANOVA, Multiple Regression (OLS Optimization, Differential Equations, Matrix Calculation) (32 min)

    • Statistical Software Review: Excel, VBA, BizStats, Risk Simulator, IBM SPSS, Minitab, EVIEWS, SAS JMP, R Studio, IBM DB2, Access SQL, QDM, Python (58 min)

  • 16

    Unit 15: Forecasting Theory (25 min)

    • Forecasting Theory (25 min)

  • 17

    Unit 16: Forecasting, Time-Series Analysis, J- and S-Curves, Stochastic Processes, ARIMA, Econometrics, GARCH, Cubic Spline, LIMDEP, Stochastic (55 min)

    • Time Series Forecasting, J-Curve, S-Curve, Stochastic Processes

    • ARIMA, Econometrics, GARCH, Cubic Spline, LIMDEP (28 min)

  • 18

    Unit 17: Monte Carlo Theory and Application (20 min)

    • Monte Carlo Theory and Application (20 min)

  • 19

    Unit 18: Monte Carlo Applications, Distributional Fitting, Custom Distribution, Bootstrapping, Multidimensional, Correlation, Precision, and Simulated Dynamic Decision Tree (95 min)

    • Monte Carlo Simulation, Fitting, Custom) (67 min)

    • Bootstrapping, Multidimensional, Correlation, Precision, Decision Tree (28 min)

  • 20

    Unit 19: Tornado, Scenario Analysis, Dynamic Overlay Charts, Segmentation Clustering, Structural Breaks, and Statistical Analysis (30 min)

    • Tornado, Scenario Analysis, Dynamic Overlay Charts, Segmentation Clustering, Structural Breaks, and Statistical Analysis (30 min)

  • 21

    Unit 20: Optimization Theory and Application, Efficient Frontier Optimization, Objectives, Constraints, Decision Variables, and Simulation Assumptions in Optimization (50 min)

    • Optimization Theory and Application Overview (25 min)

    • Efficient Frontiers and Optimization Model Setup

Course Professor

Dr. Johnathan Mun, Ph.D.

👨‍⚖‍Chairman of IIPER (USA), CEO of Real Options Valuation, Inc. (USA), Chairman of OSL Analytics Academy (UK)

🏛 Professor at various universities globally and author of over 32 books and 13 patents. He is the founder, chairman, and CEO of Real Options Valuation, Inc. (ROV), a consulting, training, and software development firm specializing in strategic real options, financial valuation, Monte Carlo risk simulation, stochastic forecasting, optimization, decision analytics, business intelligence, healthcare analytics, enterprise risk management, project risk management, quantitative research methods, and risk analysis located in northern Silicon Valley, California. ROV has partners around the world including Argentina, Beijing, Chicago, China, Colombia, Ghana, Hong Kong, India, Italy, Japan, Malaysia, Mexico City, New York, Nigeria, Peru, Puerto Rico, Russia, Saudi Arabia, Shanghai, Singapore, Slovenia, South Africa, South Korea, Spain, United Kingdom, Venezuela, Zurich, and others. ROV also has a local office in Shanghai.

👨‍🎓 Ph.D. in Finance and Economics (Lehigh University, USA), MBA (Nova Southeastern University), BS in Physics and Biology (University of Miami).

👨‍🏫 He taught and consulted on a variety of real options, risk analysis, financial forecasting, project management, and financial valuation issues for more than 100 multinational firms (current and former clients include 3M, Airbus, Boeing, BP, Chevron Texaco, Cubic, Financial Accounting Standards Board, Fujitsu, GE, Goodyear, Microsoft, Motorola, Northrop Grumman, Pfizer, Timken, U.S. Department of Defense, U.S. Navy, Veritas, and many others).

📚 Research professor at the Naval Postgraduate School and visiting professor at various universities in Europe and USA.