Ph.D in Finance
A 4-6 year full time and part time doctoral programme in BA (Finance at Mahindra), preparing scholars for advanced empirical finance research and academic careers.
Ph.D in Finance overview
This programme prepares scholars for careers in academic institutions worldwide, research oriented international and national organisations and analytically intensive roles in the financial sector. The specialisation focuses on empirical finance and capital markets, with faculty interests spanning market efficiency, volatility, mean reversion and connectedness of global financial markets and asset classes. Students experience:
Experience cutting edge empirical finance research
by working closely with faculty on projects involving capital markets data, market efficiency, volatility and global asset class connectedness.
Build depth across core finance areas
like corporate finance, asset pricing, derivatives, behavioural finance and fintech, shaping a thesis around important questions in financial markets.
Develop as a confident academic
with mentoring, teaching assistantships and research seminars that improve your writing, presentation skills and ability to frame finance research questions.
Gain rigorous quantitative and computational skills
through econometrics and programming that help you analyse large financial datasets and model risks, returns and policy relevant scenarios.
FAQs
The finance specialisation is designed to build a strong research profile in empirical and theoretical finance, combined with teaching experience. Graduates are well placed for tenure track academic positions as well as specialist roles in policy institutions, financial firms and research intensive organisations.
Scholars can explore a wide range of areas, including corporate finance, asset pricing, capital markets, derivatives, banking and financial institutions, sustainable finance, fintech, energy and commodities, and other domains that align with faculty expertise and industry relevance.
While a background in finance is helpful, the specialisation also welcomes strong candidates from economics, mathematics, statistics, computer science, engineering and physics who are motivated to work on rigorous, data driven finance questions.
The specialisation has a strong empirical focus. Scholars work with real market and macro-financial data, apply econometric and computational tools, and learn to answer questions that matter to investors, regulators and financial institutions.
