Post by Petter Kolm
Professor, NYU Courant || Two-Time Quant of the Year (Risk.net & PMR) || Machine Learning & Quant Finance || Advisor, Author, Speaker & Expert Witness
๐๐๏ธPart 2 of the Financial Thought Exchange conversation that Gordon Ritter and I had with Lotta Moberg, PhD, CFA Moberg for the CFA Institute Research Foundation is now live. This episode goes deeper into ๐พ๐๐ฎ๐ป๐๐ถ๐๐ฎ๐๐ถ๐๐ฒ ๐ถ๐ป๐๐ฒ๐๐๐ถ๐ป๐ด: how we should think about machine learning and reinforcement learning in finance, what it means to validate models before using them in practice, and why model risk and judgment remain central even as the tools become more powerful. We enjoyed the opportunity to continue this discussion with Lotta, and we hope it is useful to researchers and practitioners working at the intersection of data, models, and investment decisions. I hope you enjoy the discussion! Watch on YouTube: https://lnkd.in/g2iZA5ME University of Miami Herbert Business School University of Miami Society of Quantitative Analysts (SQA) Lydia Ooghe #machinelearning #trading #quant #finance #portfoliomanagment #statarb #riskmanagement #execution #forecasting #decisionmaking #investing
