Showing 1 - 10 of 11
In this paper, we show how simple pre-averaging can be applied to measure the ex-post covariance of high-frequency financial time series under market microstructure noise and non-synchronous trading. A modulated realised covariance based on pre-averaged data is proposed and studied in this...
Persistent link: https://www.econbiz.de/10008459759
We study the asymptotics of lattice power variations of two-parameter ambit fields driven by white noise. Our first result is a law of large numbers for power variations. Under a constraint on the memory of the ambit field, normalized power variations converge to certain integral functionals of...
Persistent link: https://www.econbiz.de/10010875068
Central limit theorem, quadratic variation, bipower variation
Persistent link: https://www.econbiz.de/10010296635
We show how pre-averaging can be applied to the problem of measuring the ex-post covariance of financial asset returns under microstructure noise and non-synchronous trading. A pre-averaged realised covariance is proposed, and we present an asymptotic theory for this new estimator, which can be...
Persistent link: https://www.econbiz.de/10010898713
Central limit theorem, quadratic variation, bipower variation
Persistent link: https://www.econbiz.de/10009216950
We show how pre-averaging can be applied to the problem of measuring the ex-post covariance of financial asset returns under microstructure noise and non-synchronous trading. A pre-averaged realised covariance is proposed, and we present an asymptotic theory for this new estimator, which can be...
Persistent link: https://www.econbiz.de/10010570532
This paper presents a goodness-of-fit test for the volatility function of a SDE driven by a Gaussian process with stationary and centered increments. Under rather weak assumptions on the Gaussian process, we provide a procedure for testing whether the unknown volatility function lies in a given...
Persistent link: https://www.econbiz.de/10010680540
This paper presents a Hayashi–Yoshida-type estimator for the covariation matrix of continuous Itô semimartingales observed with noise. The coordinates of the multivariate process are assumed to be observed at highly frequent non-synchronous points. The estimator of the covariation matrix is...
Persistent link: https://www.econbiz.de/10010681788
In this paper we present the central limit theorem for general functions of the increments of Brownian semimartingales. This provides a natural extension of the results derived in Barndorff-Nielsen, Graversen, Jacod, Podolskij and Shephard (2006), who showed the central limit theorem for even...
Persistent link: https://www.econbiz.de/10010661403
Persistent link: https://www.econbiz.de/10009785770