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This survey aims to provide insightful and objective perspectives on the research history of quantitative portfolio management strategies with suggestions for the future of …
Learn MoreHighlights • We propose a framework for stock ranking-based portfolio optimization. • We use a multi-task learning model to jointly learn stock return and volatility risk. •
Learn MoreWe present skfolio, an open-source Python library for portfolio construction and risk management that seamlessly integrates with the scikit-learn ecosystem. skfolio provides a …
Learn MoreAbstract Portfolio optimization is a fundamental challenge in quantitative finance, re-quiring robust computational tools that integrate statistical rigor with practical implementation. …
Learn MoreAbstract We introduce a unified framework for rapid, large-scale portfolio optimization that incorporates both shrinkage and regularization techniques. This framework addresses multiple …
Learn MoreLatest developments in solar PV technology, energy storage advancements, commercial power solutions, and industry insights from our team of renewable energy experts across Poland.
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