Faculty of Mathematics & Computer Science
Areas of Research
Financial mathematics,
Financial econometrics
Volatility modeling
Financial time series forecasting
Dr. Muhammad Naeem is an Assistant Professor of Financial Mathematics at the Modern College of Business and Science, Oman. He holds a PhD in Mathematics for economics and Financial Applications at “Sapienza” University of Rome, Italy. MS Degree in Technomathematics at Lappeenranta University of Technology, Finland. He had won the Ph.D. Schools Fellowship of “2010-2011” at “Sapienza” University of Rome. He had been awarded a research assistantship during his MS study in Finland. He had won research funding for visiting Germany, the Netherlands, and Austria. He had been a visiting scholar at the Department of Economics and Statistics at the University of Siena. His research focuses on financial mathematics, financial econometrics, volatility modeling, and financial time series forecasting. He published several research papers in the field of financial econometrics.
Ji, H., Naeem, M., Zhang, J., & Tiwari, A. K. (2024). Dynamic dependence and spillover among the energy related ETFs: From the hedging effectiveness perspective. Energy Economics, 136, 107681.
Yang, Z., Naeem, M., Ji, H., Liu, G., Zhu, Y., & Xu, J. (2023). Does China’s stock market react to COVID-19 differently at industry level? Evidence from China.
Economic Research-Ekonomska Istraživanja, 36(2), 2143844. (Q1, Scopus, IF=1.4)
Naeem, M., & Ahmed, S. (2022). Hedging Effectiveness of Currency ETFs Against WTI Crude Oil Price Fluctuations. In Intelligent Systems and Applications in Business and Finance (pp. 189-216). Springer, Cham. (Book Chapter, Scopus)
Ferrouhi, E. M., Kharbouch, O., Aguenaou, S., & Naeem, M. (2021). Calendar anomalies in African stock markets. Cogent Economics & Finance, 9(1). (ABDC “B”, Scopus)
Ain, Q. U., Yuan, X., Javaid, H. M., & Naeem, M. (2021). Board gender diversity and sustainable growth rate: Chinese evidence. Economic Research-Ekonomska Istraživanja, 1-21. (Q1, Scopus, IF=1.4)
Umar, Z., Gubareva, M., Naeem, M., & Akhter, A. (2021). Return and volatility transmission between oil price shocks and agricultural commodities. Plos one, 16(2). (Q1, Scopus)
Naeem, M., Saleem, K., Ahmed, S., Muhammad, N., & Mustafa, F. (2020). Extreme return-volume relationship in cryptocurrencies: Tail dependence analysis. Cogent Economics & Finance, 8(1), 1834175. (ABDC “B”, Scopus)
Rao, M., Khursheed, A., & Naeem, M. (2020). Stock market investor overreaction effect: A pragmatic study on emerging markets. Paradigms, SI (1), 94-103.
Umar, Z., Kenourgios, D., Naeem, M., Abdulrahman, K., & Al Hazaa, S. (2020). The inflation hedging capacity of Islamic and conventional equities. Journal of Economic Studies. (ABDC “B”, Scopus, Q1)
Naeem, M., Umar, Z., Ahmed, S., & Ferrouhi, E. M. (2020). Dynamic dependence between ETFs and crude oil prices by using EGARCH-Copula approach. Physica A: Statistical Mechanics and its Applications, 557. (Q2, Scopus)
Khursheed, A., Naeem, M., Ahmed, S., & Mustafa, F. (2020). Adaptive market hypothesis: An empirical analysis of time–varying market efficiency of cryptocurrencies. Cogent Economics & Finance, 8(1), 1719574. (Scopus, ABDC” B”)
Naeem, M., Tiwari, A. K., Mubashra, S., & Shahbaz, M. (2019). Modeling volatility of precious metals markets by using regime switching GARCH models. Resources Policy, 64, 101497. (Scopus, ABDC” B”, Q1)
Naeem, M., Bouri, E., Boako, G., & Roubaud, D. (2019). Tail dependence in the return-volume of leading cryptocurrencies. Finance Research Letters, 101326. (Scopus, ABDC” A”, Q1)
Naeem, M., Shahbaz, M., Saleem, K., & Mustafa, F. (2019). Risk analysis of high frequency precious metals returns by using long memory model. Resources Policy, 61, 399-409. (Scopus, ABDC” B”, Q1)
Shahbaz, M., Naeem, M., Ahad, M., & Tahir, I. (2018). Is natural resource abundance a stimulus for financial development in the USA? Resources Policy, 55, 223-232. (Scopus, ABDC” B”, Q1)
Naeem, M., Ji, H. and Liseo, B.”Negative Return-Volume Relationship in Asian Stock Markets: Figarch-Copula Approach” Eurasian Journal of Economics and Finance, 2014, vol. 2, issue 2, pages 1-20.
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