I am planning a research project on estimating the probability of corporate takeovers.
I think that different variables could be indicators to predict takeover bids.
For example, price increases in the days prior to the offer, increased trading volume, takeover rumors in stock market magazines, or business ratios.
From a methodological point of view, I think that machine learning (ML) techniques are very promising with regard to estimating the probability of a takeover.
However, I am not very familiar with this field. Can anyone recommend techniques that can be used to model the probability? Perhaps someone has estimated a probability model with an ML technique in a similar area and can share their experience with me.
I would be very happy to receive feedback.
Many thanks in advance!