Yves D'hondt’s Post

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Quantitative Researcher | UC Berkeley | KU Leuven | ESMT Berlin

Are option implied distribution statistics published by the Federal Reserve Bank of Minneapolis more than just a tool for policy makers? Back in January we set out to answer that question. Over the course of 2 months, we extracted a weak alpha in equity markets, reconstructed daily option implied probability distributions of the S&P500 to perform stable regime detection, and tried to hedge fixed income markets. If you ask us again whether this data is useful, the best we can say is "it depends". A big thank you goes to our academic supervisor Kevin Coldiron whose weekly support and relentless feedback helped shape our submission into something to be proud of. I'd also like to thank my teammates Travis Cable, Matteo Di Venti, Amir Mani, CFA, CAIA, George Sotiropoulos, and Wei (David) Qi. I couldn't have thought of a better team to reel in another victory for the UC Berkeley Haas Master of Financial Engineering Program! If you're interested in knowing more, you can find the full problem statement and our paper submission on the website of the International Association for Quantitative Finance IAQF.

Kevin Coldiron

Co-Author of "The Rise of Carry" & Lecturer at UC Berkeley Haas Business School

5mo

Congratulations and totally deserved. You guys packed a LOT of insight and hard work into this project. It was a true pleasure to work with you.

Blanca Castillo

Data Analyst | M.Sc. Management | B.Sc. Industrial Engineering

5mo

Congratulations 👏🏼 Well deserved!

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