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Simple question that I was wondering about over during the weekend. I have done a little FEM during the last years and my university time and did not spend a lot of time with FDM. For a new job I have started brushing up my numerical skillset a bit again and read up on FDM a bit more in detail.

For derivatives pricing, is there actually a situation in which you explicitly choose FEM over FDM? I would choose FEM for a problem in which I

  • either have complicated boundaries or
  • am more more concerned with a weak solution of a PDE or I
  • can be really smart about the mass- and stiffness matrix

Neither of those are necessarily concerns in QF, right? I mean I can also for high-dimensional problems pretty much always use at least some OS method and do dimensional splitting with an approach like Hundsdorfer-Verwer, with which I essentially have a sparse multiplication and a few tridiagonal matrix systems to solve - I therefore pretty much always land at (or close to) a $O(N)$ complexity, with a high constant maybe but that's already about as good as I would have got with MG methods and so on. That seems to be the current state of the art for anything from (low-dim) basket-options to american options to SV models or SI models and so on. Even if you check "slightly" nonlinear problems like UVM and lending rates, you have policy iterations with, again, stepwise FDM solvers.

I know that there are books about FEM in finance but what I am missing a bit is the reason - most publications go about it as "look, that also works". I wouldn't really care about higher complexity (after all, we don't need to program in Excel anymore...), just about superior solvers. So my question would be:

What type of problems favor FEM over FDM in quantitative finance? Is FDM here just the objectively better, faster and more versatile ansatz in this field?

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    $\begingroup$ Years ago I tried to do some research on FEM for options in cooperation with a mech eng professor familar with FEM. TBH I could not see any advantage to our proposed method over FDM. So I stopped. That's just my experience. $\endgroup$
    – nbbo2
    Jan 30, 2023 at 14:21
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    $\begingroup$ See this question $\endgroup$
    – Kevin
    Jan 30, 2023 at 15:51
  • $\begingroup$ Hi @Kevin, I read that but as you see this doesn't answer my question (on one answer) and is wrong on another answer. I was looking for some specific products or situations or models in which a FEM is a better choice. $\endgroup$
    – freistil90
    Jan 30, 2023 at 17:33
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    $\begingroup$ @freistil90 Agreed. That's why I didn't mark the question as a duplicate. I just wanted to highlight the link to the previous question. Indeed, I'd very much like to read an answer to your question :) $\endgroup$
    – Kevin
    Jan 30, 2023 at 17:52

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