Search Results for author: Thomas Dierckx

Found 3 papers, 0 papers with code

Nowcasting Stock Implied Volatility with Twitter

no code implementations31 Dec 2022 Thomas Dierckx, Jesse Davis, Wim Schoutens

In this study, we predict next-day movements of stock end-of-day implied volatility using random forests.

Using Machine Learning and Alternative Data to Predict Movements in Market Risk

no code implementations16 Sep 2020 Thomas Dierckx, Jesse Davis, Wim Schoutens

Using machine learning and alternative data for the prediction of financial markets has been a popular topic in recent years.

Asset Management BIG-bench Machine Learning

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