Ph.D. (Finance and Accounting), Indian Institute of Management Lucknow; M.Com.,
Department of Commerce, Delhi School of Economics, Delhi University; UGC-NET JRF;
B.Com.(Hons.), Lady Shri Ram College, Delhi University.
Research work contributes to the following UN-SDG Goals:
Email: jyoti.garg@fsm.ac.in
Contact:
Total Years of Experience
2 Years
Brief description of Experience
Dr. Jyoti Garg is an Assistant Professor in the Finance & Accounting area at FORE School of
Management (FSM), New Delhi. She holds a Ph.D. in Finance from the Indian Institute of Management Lucknow. Her teaching interests span Corporate Finance, Security Analysis and Portfolio Management, Financial Reporting and Analysis, and Financial Modelling, among other courses in quantitative finance and accounting. Dr. Garg has published her research in international peer-reviewed journals and has presented her work at distinguished national and
international conferences. She brings over six years of experience in academia and industry. Before joining FSM, she served as an Assistant Professor at Great Lakes Institute of Management Gurgaon. Prior to joining academia, she has also worked in External Audit at
Deloitte & Touche.
Research Interest Areas
Portfolio Optimization and Investment Decisions; Financial Market Volatility and Forecasting, Quantitative Finance, Climate Finance
Consulting Interest Areas
Corporate Finance, Portfolio Management, Financial Risk Management
Selected Publications
1) Garg, J., & Karmakar, M. (2026). Achieving international diversification benefits with domestically traded assets: a study based on mean–CVaR optimization
framework. Journal of Asset Management, 27(2), 22.
2) Garg, J., & Karmakar, M. (2026). Equity Home Bias Puzzle: A Revisit. Journal of Forecasting, 45(2), 439-457.
3) Chakraborty, D., Garg, J., & Karmakar, M. (2025). Optimization strategies in portfolio management: Do they influence performance? The Journal of Prediction Markets, 19(3), 65-88.
4) Garg, J., Karmakar, M., & Paul, S. (2023). A study on equity home bias using vine copula approach. The North American Journal of Economics and Finance, 64,101860.
