Finance Research Topics & Ideas

They are there for inspiration rather than for copying. Anything broad enough to appeal to a whole page of finance students is, by that fact, too broad for one dissertation, and the work of turning a prompt into a question is most of what a topic actually is. Our guide to choosing a research topic covers the narrowing. Your university's own rules are the final word on the shape it has to take.

Look at the thesis titles here and you will see the same move repeatedly: a named market, a named period and a variable somebody can actually measure. "The impact of ESG on performance" is a literature review. "Whether ESG credentials change how a company performs after it lists" is a study, because it names the event, the population and the outcome. In finance the narrowing usually comes from the data you can get, not from the theory.

For most quantitative finance topics, yes, and it is worth being honest with yourself early. A lot of the work on this page runs panel regressions, event studies or time series models. But not all finance research is quantitative: there is qualitative work here on how venture capitalists judge founders and on why post-crisis banking reform stalled. On the whole it is worth picking the method you can actually execute rather than the one that sounds most rigorous.

Mostly from the library, and from public filings. CRSP, Compustat and Bloomberg are the standard sources and most universities hold at least one, but SEC EDGAR filings, Federal Reserve and Bank of England series, World Bank data and company annual reports are all free. Check what your library actually licenses before you design the study, because a topic that needs a database you cannot reach is not a topic yet.

In many finance programs yes, and you will notice several on this page. A thesis by publication is three or four related papers with a linking introduction and conclusion, and it is the norm for finance PhDs at many universities because it produces submittable papers as you go. Master's dissertations are usually a single study. Ask your department which format applies to you, since it changes how you scope the question.

You can, and four questions here do. The risk is not that the technology dates, it is writing about the tool instead of the mechanism. A thesis on "blockchain in finance" ages badly. Check first that someone in your department can supervise it, which is the practical constraint more often than the topic is. A thesis on what happens to crypto lending markets under stress is about liquidity and runs, which is a question finance has been asking since long before crypto and will keep asking after.

Recent enough that the market structure still resembles the one you are describing, which in practice usually means the last ten to fifteen years unless you are deliberately studying an older episode. Several studies here use the 2008 crisis and the COVID period precisely because a shock makes relationships visible. An older sample is fine if the question is historical; it is a problem if you present it as current.

Almost certainly not. The common failure is the opposite: a question so broad that no dataset can answer it in a year. "Determinants of portfolio manager ownership" sounds impossibly specific and is a whole thesis, because it is answerable. If you can name the sample, the period and the variable, you are close to the right size, and your supervisor can tell you quickly if it is genuinely too small.