In this episode I speak with Adam Butler, co-founder and CIO of ReSolve Asset Management. For full disclosure, at the time of recording I am personally an investor in one of ReSolve’s private funds.

Adam last joined the show in Season 1, where we discussed his background and philosophy of diversification. This episode begins with a discussion of how Adam’s thinking and process has evolved over the last four-plus years, much of which is centered around the idea of experimental design. Adam discusses the adoption of machine learning techniques, the spectrum of complexity between zero- and strong-prior signals, and how proper experiment design allows for greater process diversification.

The back half of the conversation dances across a few subjects. We discuss topics such as seasonality, carry, the operational burdens of introducing a full-stack machine learning process, and the difficulties allocators face in introducing multi-strategy alternatives into their portfolios.

I hope you enjoy this episode with Adam Butler.

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