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We study drift dynamics in high-frequency financial returns using a semiparametric approach based on the conventional semimartingale representation of asset prices. By exploiting the exact discretization of the continuous-time process, our framework allows us to formally test for the presence of stochastic drift dynamics in the data and to assess its ...
Giuseppe Buccheri, Giorgio Vocalelli
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Giuseppe Buccheri, Giorgio Vocalelli
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Efficiency Bounds for Semiparametric Regression
Econometrica, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Semiparametric Smooth Coefficient Models
Journal of Business and Economic Statistics, 2002Qi Li, Tsu-Tan Fu, Cliff J Huang
exaly
Semiparametric Regression Analysis With Missing Response at Random
Journal of the American Statistical Association, 2004Wolfgang Härdle, Oliver Linton
exaly
A Semiparametric Approach to Dimension Reduction
Journal of the American Statistical Association, 2012Liping Zhu
exaly
Efficient Semiparametric Marginal Estimation for Longitudinal/Clustered Data
Journal of the American Statistical Association, 2005Xihong Lin, Naisyin Wang
exaly
Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
Journal of the American Statistical Association, 2001Xihong Lin
exaly
Twicing Kernels and a Small Bias Property of Semiparametric Estimators
Econometrica, 2004James M Robins +2 more
exaly

