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Tag Archives: estimation error
Highlights of the London Quant Group Technology Day
A summary of the high points of the day. Factor models and optimization Three of the talks formed a theme: factor models of variance — especially as applied to portfolio optimization. The basic problem is that variance matrices are created with error. A variance matrix is a key input to (some) portfolio optimizations. The optimizer … Continue reading