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Clint Howard
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Research
Working papers
Causal Network Representations in Factor Investing
Beyond GMV: Raising the Bar for Evaluating Covariance Matrix Estimators
3D Investing: Jointly Optimizing Return, Risk, and Sustainability
Less is More? Reducing Biases and Overfitting in Machine Learning Return Predictions
Publications
The Battle of the Models: Modern Takes on Traditional and Machine Learning Techniques in Empirical Finance
The Term Structure of Machine Learning Alpha
(with David Blitz, Matthias Hanauer, and Tobias Hoogteijling) in the Journal of Financial Data Science.
SSRN Link
Proper Orthogonal Decomposition (POD) analysis of CFD data for flow in an axisymmetric sudden expansion
(with Sushen Gupta, Ali Abbas, Timothy A.G. Langrish, and David F. Fletcher) in Chemical Engineering Research and Design
Asset management writings
ML in Asset Management
GPT in Asset Management
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