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6 avril 2022
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Quantitative Finance - Portfolio Management Economics - Econometrics Statistics - Applications Statistics - Machine LearningSujets proches
Scrip Investment securities Securities law Capitalization (Finance) Blue sky laws Securities--Law and legislation Portfolio Underwriting Investing Investment management PortfolioCiter ce document
Bruno Spilak et al., « Risk budget portfolios with convex Non-negative Matrix Factorization », arXiv - économie
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Résumé
We propose a portfolio allocation method based on risk factor budgeting using convex Nonnegative Matrix Factorization (NMF). Unlike classical factor analysis, PCA, or ICA, NMF ensures positive factor loadings to obtain interpretable long-only portfolios. As the NMF factors represent separate sources of risk, they have a quasi-diagonal correlation matrix, promoting diversified portfolio allocations. We evaluate our method in the context of volatility targeting on two long-only global portfolios of cryptocurrencies and traditional assets. Our method outperforms classical portfolio allocations regarding diversification and presents a better risk profile than hierarchical risk parity (HRP). We assess the robustness of our findings using Monte Carlo simulation.