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Charlie Woodman, Cambridge Judge Business School

Title of research: Empirical Asset Pricing and Machine Learning

To research the existing literature relating to machine learning in the context of empirical asset pricing and stock price predictability. Specifically, I am interested in the application of computational methods to understand the cross section and time-series of asset returns, and the formation and collapse of so called “bubbles,” which are best described as periods of explosiveness in asset prices. The motivation for this project is to develop a research proposal for admission to the PhD in Finance in October 2021.

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Best Student Paper Award 2021 - competition is now open

Feb 12, 2021

For the last 13 years, Cambridge Finance is offering its Best Student Paper Award. The award comprises a cash honorarium of £1,000 and a certificate is awarded to the author of the best student paper in finance presented during the 2020-2021 academic year.

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