Portfolio Optimization and the Random Magnet Problem

Abstract

Diversification of an investment into independently fluctuating assets reduces its risk. In reality, movement of assets are are mutually correlated and therefore knowledge of cross--correlations among asset price movements are of great importance. Our results support the possibility that the problem of finding an investment in stocks which exposes invested funds to a minimum level of risk is analogous to the problem of finding the magnetization of a random magnet. The interactions for this ``random magnet problem'' are given by the cross-correlation matrix {\bf \sf C} of stock returns. We find that random matrix theory allows us to make an estimate for {\bf \sf C} which outperforms the standard estimate in terms of constructing an investment which carries a minimum level of risk.

arXiv comment12 pages, 4 figures, revtex

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• The q-dependent detrended cross-correlation analysis of stock market
• Random matrix analysis of deep neural network weight matrices
• Building portfolios of stocks in the São Paulo Stock Exchange using Random Matrix Theory