Portfolio selection under non-gaussianity and systemic risk: A machine learning based forecasting approach
via ZoomSpeaker: Prof. Abderrahim Taamouti, Management School, University of Liverpool Abstract: The Sharpe-ratio-maximizing portfolio becomes questionable under non-Gaussian returns, and it rules out, by construction, systemic risk, which can negatively affect its out-of-sample performance. In the present work, we develop a new performance ratio that simultaneously addresses these two problems when building optimal portfolios. To robustify […]