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paper discusses identification and consistent estimation of the unknown functions H, M, G and F, where r (x, z) = H [M (x, z …)] and M (x, z) = G(x) + F (z). An estimation algorithm is proposed for each of the model's unknown components when r (x, z …
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be used for model-free risk measurement. Infi ll asymptotic theory is derived that applies when the pricing function is …
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In this paper, we introduce a flexible and widely applicable nonparametric entropy-based testing procedure that can be used to assess the validity of simple hypotheses about a specific parametric population distribution. The testing methodology relies on the characteristic function of the...
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