
Dr. Rupel Nargunam
Assistant Professor & Exam Coordinator-IMA, BA and MA
Tel :
Email : rupel@mse.ac.in
- Profile
- Publications
- Teaching
- Current Research
Dr. Rupel Nargunam is currently an Assistant Professor at the Madras School of Economics (MSE), Chennai. Before joining MSE, she was associated with the University of Madras as Guest Faculty in the M.Sc. Actuarial Science program. She holds a Ph.D. in Mathematics and Actuarial Science (Financial Economics)from B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, and was a Fulbright-Nehru Doctoral Research Fellow at Temple University, USA (2019–2020).
Prior to her appointment at MSE, she worked as a Research Associate in several national and international research environments, including the Department of Statistical Science at Temple University and the Indian School of Business, Hyderabad.
Her research interests span longevity risk, credit risk modelling, empirical likelihood inference, financial markets, and insurance economics, with a particular focus on integrating data-driven and non-parametric approaches into actuarial and financial modelling. She has published in internationally refereed journals such as Financial Innovation, Digital Finance, and Statistics and Its Interface.
Dr. Nargunam has received several academic distinctions, including the Fulbright-Nehru Doctoral Research Fellowship, the Swami Vivekananda Single Girl Child Scholarship, and the Indira Gandhi Postgraduate Scholarship for Single Girl Child. A Gold Medallist in M.Sc. Actuarial Science, she has contributed extensively to postgraduate teaching and curriculum design in Stochastic Models, Actuarial Mathematics, Financial Economics, and Survival Models.
She is a member of the Institute of Actuaries of India (IAI), the Institute and Faculty of Actuaries (IFoA, UK), the Asia-Pacific Risk and Insurance Association (APRIA) and the International Indian Statistical Association (IISA, Indian chapter).
Nargunam, R., & Kattumannil, S.K.K. (2025). Mean-Variance Portfolio Optimisation using Jackknife Empirical Likelihood Estimation of Tail Conditional Variance. MSE Working Paper. 283/2025.
Rathee, N., & Nargunam, R. (2024). Is health insurance actuarially fair? Quantifying discrepancies in the Indian health insurance sector. MSE Working Paper 271/2024.
Nargunam, R., Wei, W.W.S., & Anuradha, N. (2023). Analyses of the impact of country specific macro risk variables on gold futures contract and its position as an asset class: evidence from India. Statistics and Its Interface, 16(1), 57–67.
Nargunam, R., & Lahiri, A. (2022). Persistence in daily returns of stocks with highest market capitalization in the Indian market. Digital Finance. 1-34.
Nargunam, R., Wei, W.W.S., & Anuradha, N. (2021). Investigating seasonality, policy intervention and forecasting in the Indian gold futures market: a comparison based on modelling non-constant variance using two different methods. Financial Innovation. 7:62.
Nargunam, R., & Anuradha, N. (2017). Market efficiency of gold exchange-traded funds in India. Financial Innovation. 3(1):14.
Fixed Income Securities,
Stochastic Models,
Survival Models,
Actuarial Mathematics,
Economics of Insurance
Financial Institutions and Markets,
Financial Mathematics



























