| Faculty Title | Ronil Barua |
|---|---|
| Faculty Short Info | PhD - Finance | IIT - Roorkee |
| Faculty Image | images/faculty/fulltime/Ronil-Barua.jpg#joomlaImage://local-images/faculty/fulltime/Ronil-Barua.jpg?width=375&height=400 |
| Faculty Name | Prof. Ronil Barua |
| Faculty Education Details | PhD in Finance from Indian Institute of Technology, Roorkee; M.Com in Finance from University of Delhi; B.Com (Hons.) from University of Delhi. |
| Faculty Designation | Assistant Professor - Finance |
| Faculty Schools | FLAME School of Business |
| Faculty Department | Finance |
| Faculty Subject | 0 |
| Employment | Full Time |
| Faculty Email | ronil.barua@flame.edu.in |
| Faculty Bio | Prof. Ronil Barua is an Assistant Professor – Finance at FLAME University. He received his Doctorate Degree in Finance from IIT Roorkee. He holds an M.Com (Finance) and a B.Com (Hons.) from the University of Delhi. His doctoral research focused on developing techniques to leverage machine learning for portfolio optimization. His dissertation, titled " Portfolio Optimization with Machine Learning: Relevant Perspectives on Improving the Black-Litterman Model," involved applying machine learning, predictive modeling, and optimization techniques to improve investment strategies. The findings from his research have been published as two research articles in Finance Research Letters. As a PhD student, he served as a teaching assistant in four National Programme on Technology Enhanced Learning (NPTEL) courses on finance and accounting, which were offered by IIT Roorkee. His teaching interests include Investment Analysis, Portfolio Management, Corporate Finance, Fintech and Behavioral Finance. His research interests involve Portfolio Management, Machine Learning for Finance, Neural Networks for Financial Applications and Investor Sentiment |
| Faculty Research & Publication | Journal Articles
Conference Presentations
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| Alias | ronil-barua |
| Modified Date | Wednesday, 12 February 2025 14:36 |
| E-content Developed | |
| Finish Publishing | - |