Jinghua Wang
Martin Tuchman School of Management
New Jersey Institute of Technology
My research focuses on financial economics, FinTech, cryptocurrencies, investments, cybersecurity, and the application of machine learning and explainable AI to financial questions. I am particularly interested in how information, regulation, technology, and risk shape financial markets and firm behavior.
About
I have published nearly 20 peer-reviewed articles in academic journals including International Review of Financial Analysis, Applied Economics, Accounting & Finance, International Review of Economics & Finance, and Economic Modelling, among others. My research has been presented at major academic conferences, including the FMA, EFA, MFA, and SWFA. My collaborative research received the Best Paper Award at the 2025 MBAA Academy of Finance Conference.
I am also committed to integrating research into finance education. My undergraduate finance students presented and published an academic research paper—a first at NJIT and a milestone in undergraduate finance research at the university. Prior to my academic career, I gained extensive banking experience with Fortune 500 financial institutions. In my spare time, I enjoy exploring new recipes, particularly Chinese cuisine, as well as skiing and yoga.
Research
Publications
1. Ehrlich, M., Gao, L., Gopalakrishnan, S., Guilbault, M. & Wang, J. (2026). Derivatives Trading Simulation Supported by AI. Accepted by Journal of Financial Education. (Peer Review, ABDC Ranking: B)
2. Wang, J. (2025). The Connectedness between Cryptocurrency and Segmented Technology Sectors in Different Regulatory Regimes: Causality and Machine Learning Approaches. Applied Economics. (Peer Review, ABDC Ranking: A)
3. Wang, M., Verma, R., Wang, J., Ngene, G., & Sylla, C. (2025). Do Global Uncertainty Factors Matter More to Cryptocurrency? Journal of Risk and Financial Management, 18(11), 628. (Peer Review, ABDC Ranking: B)
4. Wang, J. & Micale, J. (2025). What Happens When Disruptive Assets Meet Conventional Assets? An analysis of Cryptocurrencies and REITs. Applied Economics, 57(54), 9084–9097. (Peer Review, ABDC Ranking: A)
5. Ngene, G. & Wang, J. (2024). Arbitrage Opportunities and Feedback Trading in Regulated Bitcoin Futures Market: An Intraday Analysis. International Review of Economics and Finance, 89(B), 743–761. (SSRN’s Top Ten Download List for Efficient Market Hypothesis Models, Jan 2023) (Peer Review, ABDC Ranking: A)
6. Ngene, G. & Wang, J. (2024). Transitory and Permanent Shock Transmissions between REITs and Other Assets: Evidence from Time-Frequency Decomposition and Machine Learning. Accounting and Finance, 64(1), 539–573. (Peer Review, ABDC Ranking: A)
7. Wang, J., Ngene, G., Shi, Y. & Mungai, A.N. (2023). An Investigation of the Predictability of Uncertainty Indices on Bitcoin Returns. Journal of Risk and Financial Management, 16(10), 461. (Peer Review, ABDC Ranking: B)
8. Joshi, P., Wang, J. & Busler, M. (2022). A Study of the Machine Learning Approach and the MGARCH-BEKK Model in Volatility Transmission. Journal of Risk and Financial Management (cover issue paper), 15(3), 116, 1–9. (Peer Review, ABDC Ranking: B)
9. Ngene, G., Wang, J., Hassan, K., Julio, I., & Yu, J. (2021). Oil and Sovereign Credit Risk: Asymmetric Nonlinear Dynamic Interactions. Emerging Markets Finance and Trade, 57(7), 2006–2022. (Peer Review, ABDC Ranking: B)
10. Wang, J. & Ngene, G. (2020). Does Bitcoin Still Own the Dominant Power? An Intraday Analysis. International Review of Financial Analysis, 71, 101551. (Peer Review, ABDC Ranking: A)
11. Ngene, G., Kim, Y., & Wang, J. (2019). Who Poisons the Pool? Time-varying Asymmetric and Nonlinear Causal Inference Between Low-risk and High-risk Bonds Markets. Economic Modelling, 81, 136–147. (Peer Review, ABDC Ranking: A)
12. Wang, J. & Li, Q. (2018). A Simulated Platform in International Finance. Journal of Economics and Finance Education, 17(2), 1–9. (Peer Review, ABDC Ranking: No)
13. Wang, J. & Ngene, G. (2017). Symmetric and Asymmetric Nonlinear Causalities Between Oil Prices and the U.S. Economic Sectors. Review of Quantitative Finance and Accounting, 51(1), 199–218. (Peer Review, ABDC Ranking: B)
14. Wang, J. & Bilson, J. (2017). An Empirical Investigation of Eastern European Bond Markets. Emerging Markets Finance and Trade, 53(1), 199–212. (Peer Review, ABDC Ranking: B)
15. Qian, L. & Wang, J. (2017). Using Bloomberg Terminal in Corporate Finance Courses. Journal of Economics and Finance Education, 16(1), 70–82. (Peer Review, ABDC Ranking: No)
16. Wang, J. & Bilson, J. (2016). Bond Portfolio Allocations in South Africa Emerging Markets. Journal of Finance & Banking Studies, 5(1), 73–80. (Peer Review, ABDC Ranking: No)
17. Wang, J. & Bilson, J. (2013). A Study of International Bond Portfolio: Empirical Evidence from the Asian Emerging Market. International Journal of Finance. (Peer Review, ABDC Ranking: C)
18. Wang, J. & Ding, X. (July 2000). Seize New Opportunities, Meet New Challenges. Academic Exchange, 91(4), 75–76. (ABDC Ranking: No)
Working Papers
1. Gao, L., Jiang, D., Wang, J., & Wu, W. (2026). Cybersecurity Disclosure Mandates and Cross-Domain Compliance Spillovers. (Under review)
2. Ngene, G., Mungai, A.N., & Wang, J. (2026). Information Technology Capability as an Information-Processing Resource Under Economic Policy Uncertainty: Evidence from Financial Reporting Quality. (Under review)
3. Deng, X., Gao, L., Kim, J., & Wang, J. (2026). The Bright Side of Dark Returns: Stock Price Crash Events as a Disciplining Device Against Corporate Violations.
4. Ngene, G., & Wang, J. (2025). Short-term and Long-term Uncertainty Shock Drivers of Bitcoin Volatility.
5. Wang, J., Ngene, G., Luo, D. & Shi, Y. (2024). Does Regional Economic Policy Uncertainty Matter to Cryptocurrency Returns? Evidence from China and Japan. (Under review)
6. Ngene, G. & Wang, J. (2024). Crash Risk Contagion Across Global Banking Sectors.
7. Wang, J., Ngene, G. & Cao, R. (2024). The Economic Policy Uncertainty, Risk and Returns.
8. Ngene, G. & Wang, J. (2023). Sizes, Styles, and the Tale of Two Sentiments: Asymmetric Nonlinear Analysis.
9. Ngene, G. & Wang, J. (2018). An Empirical Investigation of the U.S. Housing Market.
Teaching
New Jersey Institute of Technology (NJIT)
Undergraduate- FIN 218: Financial Markets & Institutions
- FIN 218: Financial Markets & Institutions (Honors)
- FIN 416: Advanced Corporate Finance
- FIN 417: Investments Management
- FIN 430: Options & Futures Markets
Graduate
- BDS 725: Independent Study
Teaching Approach
My teaching philosophy centers on creating a comfortable, engaging, and effective learning environment for students from diverse backgrounds. With eight years of experience in the banking industry and over twelve years in academia, I integrate real-world insights and practical applications into my finance courses to make complex financial concepts more relevant and engaging. Because finance is often perceived as a challenging subject, I employ diverse pedagogical approaches to simplify complex concepts and make them easier to understand, while also pushing students beyond their comfort zones to cultivate critical thinking, problem-solving, and research skills.
“I am still learning.”
Contact
Martin Tuchman School of Management
New Jersey Institute of Technology
Newark, New Jersey
Office: 4022 CAB
Email: jinghua.wang@njit.edu