Johnathan Mun, Ph.D.

Dr. Johnathan Mun is Professor and Chair of the Business Department with over 27 years of industry experience. He has consulted for more than 100 multinational corporations, holds 13 registered U.S. patents, and has authored 32 books, published over 150 articles and technical reports, developed 10 software applications, traveled to over 50 countries, and founded 3 companies. His books and software are used by more than 50 universities worldwide.

As a consultant, professor, and global educator, Dr. Mun has taught in over a dozen countries and regions, including the United States, China, Colombia, Germany, Hong Kong, Malaysia, Mexico, Peru, Singapore, Switzerland, and the United Kingdom. In the U.S., he has previously taught at the Naval Postgraduate University, Golden Gate University, San Jose State University, San Francisco State University, Santa Clara University, St. Mary’s College, and others.

His consulting experience includes engagements with organizations such as PricewaterhouseCoopers, KPMG Consulting, 3M, Airbus, Boeing, FedEx, Northrop Grumman, Syngenta, Cubic Defense, the State of California, the U.S. Department of Defense, the U.S. Marine Corps, the U.S. Navy, and the central banks of Colombia and Venezuela, among many others.

Dr. Mun’s research interests span financial analytics, quantitative methods, data science, decision analytics, economics, econometrics, investment science, simulation, predictive modeling, artificial intelligence and machine learning analytics, and optimization.

Degrees and Certifications:

• Ph.D., Finance & Economics
  Lehigh University
• M.B.A., Business Administration
  Nova Southeastern University
• M.S., Operations Research & Management Science
  LaSalle University
• B.S., Biophysics
  University of Miami
• C.Q.R.M., Certified in Quantitative Risk Management
• F.R.M., Certified in Financial Risk Management
• C.R.A., Certified Risk Analyst
• C.F.C., Certified in Financial Consulting
• Certification Courses at Harvard University (Business Analytics, Managerial Economics, Financial Accounting) and Stanford University (Advanced Options Theory)

Courses Taught:

• BAN460 Introduction to Business Analytics
• BAN501 Business Analytics
• BAN524 Intermediate Business Analytics
• BAN589 Certified Quantitative Risk Management
• BUS587 Independent Research
• CPT401-502 Curricular Practical Training
• FIN501 Financial Management
• FIN588 Advanced Financial Economics and Econometrics
• MGT460 Operations and Production Management
• Other courses previously taught: Biostatistics; Econometrics; Forecasting and Predictive Modeling; Macroeconomics; Microeconomics; Managerial Finance; Managerial Economics; Simulation and Modeling; Statistics and Probability; Stochastic Analytics; and Quantitative Research Methods.

Publications:

Books

1. Economic Evaluation of Capital Investments and Information Technology (Work in Progress)
2. Databases, Data Science, and Data Analytics Fundamentals: Course Slides: Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats, 250 Pages, ISBN: 978-1734497380, ROV Press (2021)
3. Quantitative Research Methods: Applying Econometrics, Multivariate Regression, Parametric and Nonparametric Hypothesis Testing, Monte Carlo Risk Simulation, Predictive Modeling and Forecasting, Optimization, Data Analytics, Business Intelligence, and Decision Modeling, 803 Pages, ISBN: 978-17344-97335, ROV Press (2021)
4. Course Slides for Quantitative Research Methods, 388 Pages, ISBN: 978-1734497342, ROV Press (2021)
5. Applied Analytical - Oil and Gas Decommissioning Risk Management: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting and Decision Analytics (Applied Project Management Series), 266 Pages, ISBN: 978-1734481174, IIPER Press (2020)
6. Applied Analytics – Project Economic and Financial Evaluation, 150 Pages, ISBN: 978-17344-81129, IIPER Press (2020)
7. Applied Analytics – Enterprise Risk Management, 155 Pages, ISBN: 978-17344-81136, IIPER Press (2020)
8. Applied Analytics – Credit, Market, Operational and Liquidity Risk, 210 Pages, ISBN: 978-17344-81143, IIPER Press (2020)
9. Applied Analytics – Project Management, 142 Pages, ISBN: 978-17344-81150, IIPER Press (2020)
10. Applied Analytics – Quantitative Research Methods with ROV BizStats, 200 Pages, ISBN: 978-17344-81105, IIPER Press (2020)
11. Applied Analytics – Probability Distributions, 155 Pages, ISBN: 978-17344-81112, IIPER Press (2020)
12. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions with Integrated Risk Management and Advanced Quantitative Decision Analytics, 3rd Edition, 680 Pages, ISBN: 978-17344-97359, ROV Press (2016)
13. Advanced Analytical Models in ROV Modeling Toolkit: Over 800 Models and 300 Applications from the Basel Accords to Wall Street and Beyond, 760 Pages, ISBN: 978-17344-97304, ROV Press (2016)
14. Modeling Risk: Applying Monte Carlo Risk Simulation, Strategic Real Options Analysis, Stochastic Forecasting, and Portfolio Optimization, 3rd Edition, 1112 Pages, ISBN: 978-0470592212, Thomson–Shore (2015)
15. Risk Simulator Guide, 216 Pages, ISBN: 978-1515273639, ROV Press (2015)
16. PEAT: Project Economics Analysis Tool, 348 Pages, ISBN: 978-1515273530, ROV Press (2015)
17. Real Options SLS Guide, 152 Pages, ISBN: 978-1515273677, ROV Press (2015)
18. CQRM Training, 250 Pages, ISBN: Restricted, ROV Press (2015)
19. Certified Quantitative Risk Management (CQRM): Readings, 736 Pages, ISBN: 978-17344-97311, IIPER Press (2015)
20. Certified Quantitative Risk Management (CQRM): Case Studies, 352 Pages, ISBN: 978-17344-97328, IIPER Press (2015)
21. Credit Engineering for Bankers, (with Morton Glantz), 529 Pages, ISBN: 978-0123785855, Elsevier Academic Press (2010)
22. The Banker’s Handbook on Credit Risk, (with Morton Glantz), 420 Pages, ISBN: 978-0123736666, Elsevier Science (2008)
23. Advanced Analytical Models: Over 800 Models and 300 Applications from Basel II Accords to Wall Street and Beyond, 1002 Pages, ISBN: 978-0470179215, Wiley Finance (2008)
24. Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization, 2nd Edition, 1112 Pages, ISBN: 978-1943290000, Wiley Finance (2006)
25. Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization, 610 Pages, ISBN: 0-471-78900-3, Wiley Finance (2005)
26. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions, 2nd Edition, 670 Pages, ISBN: 978-0471747483, Wiley Finance (2005)
27. Valuing Employee Stock Options: Under 2004 FAS 123, 320 Pages, ISBN: 0-471-70512-8, Wiley Finance (2004)
28. Applied Risk Analysis: Moving Beyond Uncertainty, 460 Pages, ISBN: 0-471-47885-7, Wiley Finance (2003)
29. Real Options Analysis Course: Business Cases and Software Applications, 360 Pages, ISBN: 0-471-43001-3, Wiley Finance (2003)
30. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions, 416 Pages, ISBN: 0-471-25696-X, Wiley Finance (2002)
31. Managing Your Finances God’s Way, 128 Pages, ISBN: 978-1-515-21236-2, EBF Press (2003)
32. Multiple translations of selected books into Chinese, Japanese, Korean, Spanish, and Portuguese

Registered and Approved Patents

1. “Financial Options System and Method” — Type: Non-Provisional. U.S. Patent No.: 8,392,313 B2 (Mar 5, 2013)
2. “Autoeconometrics Modeling Method” — Type: Non-Provisional, U.S. Patent No.: 8,606,550 B2 (Dec 10, 2013)
3. “Evaluation Compiler Method” — Type: Non-Provisional, U.S. Patent No.: 8,713,543 (Apr 29, 2014)
4. “Project Economics Analysis Tool (PEAT)” — Type: Non-Provisional, U.S. Patent No.: 8,892,409 B2 (Nov 18, 2014)
5. “Integrated Risk Management Process” — Type: Non-Provisional, U.S. Patent No.: 9,020,857 (Apr 28, 2015)
6. “Advertising Method and Apparatus in a Communications System” — USPTO Patent Filing Number: 13/933,644; U.S. Patent No.: 9,118,429 (Aug 25, 2015)
7. “Compiled and Executable Method” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,389,840 (July 12, 2016)
8. “Interactive Content Delivery System and Apparatus with Global Reach Capability” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,438,361 (Sept 6, 2016)
9. “Autoeconometrics Modeling Method” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,547,477 B2 (Jan 17, 2017)
10. “Qualitative and Quantitative Modeling of Enterprise Risk Management and Risk Registers” — Type: Non-Provisional, U.S. Patent No.: 9,811,794 (Nov 7, 2017)
11. “Project Economics Analysis Tool (PEAT)” (Continuation) — Type: Non-Provisional, U.S. Patent No.: 9,881,339 (Jan 2018)
12. “System for Modeling and Quantifying Regulatory Capital, Key Risk Indicators, Probability of Default, Exposure at Default, Loss Given Default, Liquidity Ratios, and Value at Risk, within the Areas of Asset Liability Management, Credit Risk, Market Risk, Operational Risk, and Liquidity Risk for Banks” — Type: Non-Provisional, U.S. Patent No.: 10,453,142 B2 (Oct 22, 2019)
13. Private Patent (undisclosed)

Chapters in Books

1. “Comparing the Methodology for the Development and Project Management of Artificial Intelligence Systems,” Work in Progress (2021).
2. “Slovenian Corporate Risk Monitor 2021,” Work in Progress (2021).
3. “A Combined Lexicographic Average Rank Approach for Evaluating Uncertain Multi-Indicator Matrices with Risk Metrics,” in Partial Order Concepts in Applied Sciences, Springer International Publishing (2017).
4. “A New Theory of Value: The New Invisible Hand of Altruism,” Chapter 2 in Intellectual Capital in Organizations, Routledge (2015).
5. “A Risk-Based Approach to Cost-Benefit Analysis: Monte Carlo Risk Simulation, Strategic Real Options Analysis, Knowledge Value Added, and Portfolio Optimization,” Chapter 11 in Military Cost-Benefit Analysis: Theory & Practice, Taylor & Francis (2015).
6. “Visualization of Big Data: Current Trends,” in Industrial Innovation, Handbook of Measurements, CRC Press (2015).
7. “Visualization of Big Data: Ship Maintenance Metrics Analysis,” in Industrial Innovation, Handbook of Measurements, CRC Press (2015).
8. “A Primer on Quantitative Risk Analysis,” in Multi-Asset Risk Modeling, Academic Press (2013).
9. “Extreme Value Theory and Application to Market Shocks for Stress Testing and Extreme Value at Risk,” in Multi-asset Risk Modeling, Academic Press (2013).
10. “Real Options in Practice,” Chapter 2 in Real Options in Engineering Design, Operations, and Management, CRC Press (2012).
11. “Hands-on Applications of Real Options SLS,” Chapter 15 in Real Options in Engineering Design, Operations, and Management, CRC Press (2012).
12. “Capturing the Strategic Flexibility of Investment Decisions through Real Options Analysis,” Article #5 in The Strategic CFO, Springer (2011).
13. “Monte Carlo Risk Simulation,” Chapter 17 in Quantitative Business Valuation, Wiley (2010).
14. “Real Options,” Chapter 18 in Quantitative Business Valuation, Wiley (2010).
15. “Applying KVA Analysis, Risk Simulation and Strategic Real Options: The Shipyard Case,” in Organisational Capital, Routledge (2008).
16. “Real Options and Monte Carlo Simulation versus Traditional DCF Valuation in Layman’s Terms,” Chapter 6 in Managing Enterprise Risk, Elsevier (2006).
17. “Strategic Real Options Valuation,” Chapter 7 in Deal Making Using Real Options and Monte Carlo Analysis, Wiley (2003).
18. “Managing Bank Risk,” in Bank Risk, Academic Press (2003).

Selected Academic Journals & Research Publications

For a complete list, please visit:

• Google Scholar profile
• ResearchGate profile

1. “Improving Cybersecurity by Addressing Cognitive Biases: Beware the Allure of AI,” work in progress 2026 .
2. “Theoretical Foundations for Knowledge Value Added (KVA): Mathematical Proofs from Information Theory, Econometrics, Economic Theory, and Financial Theory,” work in progress, 2026.
3. “The Value of Less-Lethal Weapons,” Journal of Economic Analysis (2024), 3(3) 1-17. .
4. “Artificial Intelligence and Machine Learning Applications to Navy Ships: Cybersecurity and Risk Management,” Naval Engineers Journal, March 2023, No. 135-1. .
5. “Optimizing The Warfighter’s Intellectual Capability: Identifying Value Propositions and Modeling Return on Investment of Military Education and Research,” Defense Acquisitions Research Journal, July 2022, Vol. 29, No. 3.
6. “Monte Carlo Simulation with Mathematical Convolution of Frequency and Severity Distributions in Operational Risk Capital Model in the Basel Accords,” Journal of Advances in Mathematics and Computer Science, 37(1): 8–21, March 2022.
7. “Merging Future Knowledgebase System of Systems with Artificial Intelligence/Machine Learning Engines to Maximize Reliability and Availability for Decision Support,” Journal of Military Operations Research, No. 26-N2 (2021). doi.org/10.5711/1082598326477. .
8. “Risk-Based Modeling of Lifecycle and Total Ownership Cost,” Naval Engineers Journal, ASNE, No. 133-4, December 2021. .
9. “Optimizing the Warfighter’s Intellectual Capacity: ROI and the Value Proposition of Military Education and Research,” CIMSEC, September 2021.
10. “Technology Trust: System Information Impact on Autonomous Systems Adoption in High-Risk Applications,” Defense Acquisitions Research Journal, Vol. 28, No.1 (January 2021).
11. “Flexible Ships,” Naval Engineers Journal, December 2021, No. 133-1.
12. “Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits Opportunities,” Naval Engineers Journal, ASNE, No. 132-2, June 2020. .
13. “The Lightly Manned Autonomous Combat Capability (LMACC),” Naval Engineers Journal, ASNE, No. 132-2, June 2020. .
14. “Economic Impact of the Health Sector on the Regional Level: The Case of a Small, Open Economy,” Applied Health Economics and Health Policy, Springer, 2021 .
15. “Assessing Manufacturing Flow Lines Under Uncertainties in Processing Time,” International Journal of Production Economics, No. 234 (2021) .
16. “Application of Logic Regression to Assess the Importance of Interactions Between Components in a Network,” Journal of Reliability Engineering and System Safety, September 2020 .
17. “Why Do Some Merger and Acquisitions Deals Fail? A Global Perspective,” International Journal of Finance and Economics (June 2020) .
18. … (additional items omitted for brevity; full list available on Google Scholar/ResearchGate)

Refereed Proceedings, Symposia Articles & Technical Reports

1. Refereed Proceedings and Symposia Articles & Technical Reports (selected)
2. “Modeling Future Demands for Child Development Center (CDC) Funding,” Naval Research Program 2024 (forthcoming).
3. “Improved Methods of Combat Identification,” Naval Research Program (2023). .
4. “Game Theory and the Navy Budget,” Naval Research Program (2023). .
5. “Industrial Assessment Directorate: Impact of the Navy’s 30-Year Shipbuilding Plan on US Industrial Base,” Acquisition Research Program (2023). .
6. “Next Generation Logistics Ship (NGLS) Automation and Uncrewed Underway Replenishment (UNREP),” Acquisition Research Program (2023). .
7. “Cyber Technologies, Machine Learning, Additive Manufacturing, and Cloud in the Box to Enable Optimized Maintenance Processes in Extreme Conditions,” HCI Conference Proceedings 2023.
8. “Management and Business Knowledge Representation for Decision Making,” Acquisition Innovation Research Center (2022).
9. “Framework for Estimating Engineering Prototyping Uncertainty,” Acquisitions Research Program (2022).
10. “Cybersecurity, Artificial Intelligence, and Risk Management: Understanding Their Implementation in Military Systems Acquisitions,” Acquisition Research Program (2021).
11. … (additional items omitted for brevity)