@krzysztofsztompka/garch
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    Function tailRisk

    • VaR and ES of r = μ + √s·z, z standard normal or — with nu — Student-t (skewed t with lambda too) standardised to unit variance, the innovations a fit assumed. For a one-step forecast: mean μ, variance s_{T+1}.

      Parameters

      • request: { lambda?: number; level: number; mean: number; nu?: number; variance: number }
        • Optional Readonlylambda?: number

          With nu, a skewed t (Hansen's, as fitted with dist: 'skewt').

        • Readonlylevel: number
        • Readonlymean: number
        • Optional Readonlynu?: number
        • Readonlyvariance: number

      Returns TailRisk