Abstract

We extend the Black-Litterman methodology to generic non-normal market distributions and non-normal views. We draw on the copula and opinion pooling literature to express views directly on the market realizations, instead of the market parameters as in the Black-Litterman case. We compare the two approaches and we show an application to a thick-tailed, skewed and highly dependent market, where the views are expressed as uncertainty ranges.

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