I'm genuinely interested in Quantitative Finance, mostly volatility (e.g. Realized Volatility (MSRV, Realized Kernel), VaR based on GARCH under higher order conditional moment dynamics, etc) or just financial time series in general.
However, my graduate academic supervisor told me that this field of research is not very appreciated within my graduate program. Bottom line - I have to choose an M&A-related topic for my term paper (basically what every student on this program ends up doing) or my grade for it will see a sharper decline than post-brexit GBP.
It's not that I have no interest in M&A, quite the opposite; however, each and every research I come across regarging this topic relies on plain OLS (FE panel at best) running over and over and... you get the idea. Most of the times sample sizes there are laughable and results are subject to shameless p-hacking, i.e. not the kind of motivation for a research one could possibly want.
Is it all that bad or I'm missing something? Aren't there any M&A research directions where I can apply my quant knowledge?