Assist. Prof. Dr. Taicir MEZGHANI | Finance | Best Researcher Award
Assist. Prof. Dr. Taicir MEZGHANI | Finance – Assistant Professor at Faculty of Economic Sciences and Management of Sfax, Tunisia
Taicir Mezghani is a distinguished scholar in the field of Finance, specializing in topics such as portfolio management, financial markets, behavioral finance, sustainable finance, and machine learning applications in finance. With a Ph.D. in Finance obtained from the Faculty of Economics and Management of Sfax in January 2021, Mezghani has made significant contributions to the academic world. He currently holds several teaching positions, including contractual and visiting roles at ISAA and ENTCOM of Sfax. His expertise spans a wide range of subjects, from corporate finance to the role of blockchain in financial markets.
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Education:
Dr. Mezghani’s academic journey began with a Bachelor’s degree in Economics and Management from the Lycée Hedi Chaker-Sfax in 2007. He then earned a Master’s in Finance from the Faculty of Economics and Management of Sfax in May 2015, where he explored the intersection of investment and financing decisions through real options theory. His doctoral research, completed in January 2021, focused on the uncertainty and behavioral factors influencing financial markets, specifically examining hedging strategies in the context of oil and the GCC Islamic and conventional financial markets.
Experience:
Dr. Mezghani has developed a well-rounded career as an educator and researcher. From 2019 to 2024, he served as a contracted and visiting lecturer at various institutions in Sfax, contributing to the education of future financial experts. He also has experience in postdoctoral research at the University of Craiova, Romania, where he worked on green financing and technological innovation for sustainable development. His diverse professional experience has equipped him with both theoretical knowledge and practical insights into financial markets and their complexities.
Research Interests:
Dr. Mezghani’s research interests are deeply rooted in the intersection of finance, technology, and sustainability. He is particularly interested in the dynamic connectedness between financial markets, the impact of uncertainty on financial strategies, and the role of behavioral factors in investment decision-making. His research also focuses on the evolving role of green bonds, blockchain technologies, and machine learning in reshaping the future of finance, particularly in the context of the GCC financial markets and the oil sector.
Awards:
Dr. Mezghani has received several prestigious awards recognizing his outstanding research and contributions to finance. Notably, he received the Best Paper Award at the TSFS 2023 conference for his work on cryptocurrency forecasting during the COVID-19 pandemic. He was also honored with the Certificat Meilleur Jury at the Virtual Asia Innovation Show in 2022, further solidifying his reputation as a leading figure in financial research. These accolades reflect his dedication to advancing knowledge in the field of finance, particularly through the integration of behavioral insights and technological advancements.
Publications:
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Mezghani, T., Ben Hamadou, F., & Boujelbène-Abbes, M. (2023). “Network connectedness and portfolio hedging of green bonds, stock markets, and commodities.” International Journal of Emerging Markets. [IF: 2.53, SJR: 0.43, Q2] 📊
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Ben Hamadou, F., Mezghani, T., Zouari, R., & Boujelbène-Abbes, M. (2023). “Forecasting Bitcoin returns using machine learning algorithms: Impact of investor sentiment.” EuroMed Journal of Business. [IF: 7.16, SJR: 0.963, Q1] 💻
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Mezghani, T., & Boujelbène-Abbes, M. (2023). “Forecasting the impact of financial stress on hedging between the oil market and GCC financial markets.” Managerial Finance. [IF: 1.77, SJR: 0.329, Q3] 💼
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Mezghani, T., & Boujelbène-Abbes, M. (2023). “Influence of oil price fluctuations on the network connectedness between oil, GCC Islamic, and conventional financial markets.” International Journal of Islamic and Middle Eastern Finance and Management. [IF: 2.276, SJR: 0.49, Q2] 🛢️
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Mezghani, T., & Boujelbène-Abbes, M. (2022). “Forecast the Role of GCC Financial Stress on Oil Market and GCC Financial Markets Using Convolutional Neural Networks.” Asia-Pacific Financial Markets. [IF: 1.30, SJR: 0.23, Q3] 🌍
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Mezghani, T., & Boujelbène-Abbes, M. (2021). “Financial stress effects on financial markets: Dynamic connectedness and portfolio hedging.” International Journal of Emerging Markets. [IF: 2.53, SJR: 0.43, Q2] 📉
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Mezghani, T., & Boujelbène, M. (2021). “Impact of COVID-19 pandemic on risk transmission between investor sentiment and the Chinese stock and bond markets.” China Finance Review International. [IF: 5.93, SJR: 1.494, Q1] 🌐
Conclusion:
Dr. Taicir Mezghani is a promising researcher and educator whose contributions to finance and economics have made a significant impact. His expertise in behavioral finance, machine learning, and sustainable finance continues to shape the way financial markets are understood and analyzed. With a robust publication record and numerous awards, Dr. Mezghani is poised to continue influencing the academic and professional worlds of finance for years to come. His ongoing research, including the development of green bonds and technological innovations in finance, promises to offer valuable insights into the future of sustainable financial practices.
