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bootstrap methods. Specifically, since standard wild bootstrap procedures deliver inconsistent inference, we propose a local … Gaussian (LG) bootstrap, establish its first‐order asymptotic validity, and use Edgeworth expansions to show that the LG … bootstrap inference achieves second‐order asymptotic refinements. Moreover, we provide new Laplace transform‐based estimators of …
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If the intensity parameter in a jump diffusion model is identically zero, then parameters characterizing the jump size density cannot be identified. In general, this lack of identification precludes consistent estimation of identified parameters. Hence, it should be standard practice to...
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, bootstrap method is considered. In the bootstrapping framework, we discuss the choice of residuals, namely the Pearson residuals …
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