Lalatendu Mishra
Ph.D., NITK Surathkal, Post Doc, IIT KanpurLalatendu Mishra
Ph.D., NITK Surathkal, Post Doc, IIT KanpurMy research journey has been driven by a deep interest in understanding the complex interactions between financial markets, technological innovation, and sustainability. Over the years, I have developed expertise in Financial Econometrics, Sustainable Finance, Energy Finance, Financial Analytics, and the application of Artificial Intelligence in financial decision-making. My academic and professional experiences have shaped my commitment to producing research that is both theoretically rigorous and practically relevant.
My ongoing projects include studies on cryptocurrency price forecasting using deep learning techniques, the interaction between oil prices and crypto-assets, the challenges and opportunities associated with Central Bank Digital Currencies (CBDCs), ESG asset pricing, and the application of AI in financial crime detection and prevention. I am particularly interested in developing innovative analytical frameworks that address contemporary challenges in global financial markets while supporting sustainable economic development.
Through my research, I aspire to contribute meaningful insights to academia, industry, and policymakers. My long-term goal is to establish a research program that combines advanced quantitative methods with emerging technologies to address critical issues in finance and sustainability, thereby creating knowledge that has both scholarly impact and real-world relevance.
Dr Lalatendu Mishra was a Postdoctoral Fellow at the Indian Institute of Technology (IIT) Kanpur. He earned his PhD from the National Institute of Technology Karnataka (NITK), Surathkal. Dr Mishra served as an Assistant Professor at Christ (Deemed to be University), Jain (Deemed to be University) and IFIM College. He also has 4 years of industry experience.
Dr. Mishra has published five peer-reviewed journal articles, including one ABDC-A ranked publication and four ABDC-C ranked publications, all indexed in Scopus and Web of Science. His research has been presented at prestigious international conferences in Poland, Tunisia, and leading IIMs. He serves as a reviewer for reputed journals such as Financial Innovation, Asia-Pacific Financial Markets, Journal of Big Data, and The Journal of Supercomputing. His academic achievements include UGC-NET qualification, NCFM certification from the National Stock Exchange of India, and certification in Python for Artificial Intelligence, Machine Learning, and Deep Learning from IIT Kanpur.
- Ph.D., NITK Surathkal
- Post Doc, IIT Kanpur
- Mishra, L., & Acharya, R. H. (2025). The Asymmetric interaction between oil price change and stock returns of the renewable energy companies in India: A panel NARDL approach. Asia-Pacific Financial Markets, 32(1), 103-116.
- Mishra, Lalatendu, Balaji Dinesh, P. M. Kavyassree, and Nachiketa Mishra. “A Google Trend enhanced deep learning model for the prediction of renewable energy asset price.” Knowledge-Based Systems 308 (2025): 112733.
- Mishra, L., & Acharya, R. H. (2024). The effect of structural oil shocks on stock returns of Indian renewable energy companies across market conditions. International Journal of Energy Sector Management, 18(6), 2234-2251.
- Mishra, L., & Acharya, R. H. (2023). Oil price effect on asset pricing of renewable energy firms in India: a panel quantile regression approach. International Journal of Energy Sector Management, 17(5), 904-924.
- Mishra, L., & Acharya, R. H. (2022). The oil price uncertainty effect on stock returns of the Indian renewable energy firms under different market conditions. OPEC Energy Review, 46(4), 437-448.
UGC NET Qualified for Assistant Professor