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Matrix-Aware Proper Scoring Rules and Significance Testing for Correlation and Covariance Forecasts in Python
Forecasting a correlation or covariance matrix is common in risk management and portfolio construction, but evaluating such a forecast correctly is not routine: naive matrix-comparison metrics are not proper scoring rules, walk-forward evaluation windows are easy to overlap with the estimation windo
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