Mohammad Zoynul Abedin

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About

Mohammad Zoynul Abedin is a leading researcher at the intersection of artificial intelligence, financial econometrics, and sustainable energy. His work focuses on quantifying the complex, time-varying relationships between emerging technologies and clean energy markets. In his highly cited 2024 study, "Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices," which has garnered 73 citations, Abedin pioneers novel methodologies to capture how AI and green energy indices interact during periods of market stress and across different investment horizons. This research provides critical insights for portfolio diversification and risk management in the context of the global energy transition. Beyond this landmark paper, Abedin’s broader contributions have shaped how researchers and practitioners model financial contagion and extreme market dependencies. His work is distinguished by its rigorous application of advanced time-series and wavelet-based techniques, making complex phenomena accessible to both academics and industry professionals. With a growing citation footprint, Abedin continues to influence debates on sustainable finance and the role of AI in shaping future energy systems, establishing himself as a vital voice in the field.