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We present a new theory for the conduct of nonparametric inference about the latent spot volatility of a semimartingale … in local estimation blocks, our theory treats the estimation block size k as fixed. While the resulting spot volatility … estimator is no longer consistent, the new theory permits the construction of asymptotically valid and easy …
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This paper overviews recent developments in series estimation of stochastic processes and some of their applications in econometrics. Underlying this approach is the idea that a stochastic process may under certain conditions be represented in terms of a set of orthonormal basis functions,...
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first provide a general theory on the asymptotic normality of plug-in sieve M estimators of possibly irregular functionals …
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asymptotic validity using a uniform nonparametric inference method based on a new strong approximation theory for mixingales. The …
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strong approximation theory of sample averages of serially dependent random vectors with dimensions growing with the sample …
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