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This chapter deals with nonparametric estimation of the risk neutral density. We present three different approaches … conditional on the physical measure of the underlying asset. Via direct series type estimation of the pricing kernel we can derive …
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We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate … regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …
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Dimension reduction techniques for functional data analysis model and approximate smooth random functions by lower dimensional objects. In many applications the focus of interest lies not only in dimension reduction but also in the dynamic behaviour of the lower dimensional objects. The most...
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The intraday high-frequency datasets contain several zero returns, which state that no change occurs in two or more consecutive transactions, particularly in the transaction data of in- active securities. In addition, existing approaches to cleaning financial data, such as the previous-tick...
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