@krzysztofsztompka/garch
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    Type Alias ModelSpec

    Several models weighted by how well each has forecast so far.

    The alternative, picking the one model with the lowest past loss, was measured on 15 series: it beat the default on 8 and cost up to +47 % QLIKE where the ranking flipped (VNDA, SMMT). Weighting every model by 1 / its mean past loss averaged −5 % with a worst case of +4 %. At each origin only windows that have already ended count, so no weight has seen the future.

    type ModelSpec = {
        dist: Distribution;
        model: GarchModel;
    }
    Index
    model: GarchModel