Michael Kothakota - The Shape of Financial Planning
4/30/20261 hr 19 min
In this episode, we are joined by Michael Kothakota for a deeply technical and thought-provoking conversation on interdependent integrative financial planning theory. Drawing from his background in academic research and real-world advisory practice, Michael introduces a mathematical framework designed to capture the full complexity of financial planning—where decisions across domains like taxes, investments, and estate planning are interconnected and constantly evolving.
We explore why traditional economic models fall short in capturing the individualized and multi-dimensional nature of financial planning, and how Michael's approach uses tools like multi-objective optimization and dynamic programming to better reflect reality. He ex...
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First 90 secondsBenjamin Felix· Host0:00
[upbeat music] This is the Rational Reminder Podcast, a weekly reality check on sensible investing and financial decision-making from two Canadians. We're hosted by me, Benjamin Felix, chief investment officer, and Brayden Warwick, financial planning product architect at PWL Capital. Welcome to episode four hundred and seven. Brayden, I had to bring you on to this episode because, I mean, the listeners will figure it out pretty quickly. It was your kind of topic. I don't know. What, what are your quick thoughts?
Brayden Warwick· Host0:28
Yeah, it was pretty cool last time I was on the podcast. I think I left some of the, at least, the Rational Reminder community members wanting more nerdiness, wanting to go into more detail into my thought process and how I think about solving problems. And then Ben, you showed me Michael's paper. I was pretty blown away by how he was able to create a mathematical model that really got all of those ideas into one model, and it's an impressively comprehensive model. It was just really cool to talk to him about how he approached building the model, and he had a lot of cool insights.
Benjamin Felix· Host1:03
It's a really cool model. I was talking to Ross, Compliance Ross, a minute ago after we finished our conversation before we started recording the introduction, about the level of precision in the paper, 'cause it's this mathematical model where it's like you could argue that it's too complex and trying to be too precise. But I think that the takeaway from the paper and from the research, and I think Mike would agree, is sort of a level of abstraction above that, where it's just like forgetting about