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  • Search: subject:"Long run variance estimator"
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Year of publication
Subject
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Long run variance estimator 9 Market frictions 8 Quadratic variation 8 Realised variance 8 HAC estimator 6 Long Run Variance Estimator 3 Market Frictions 3 Quadratic Variation 3 Realised Variance 3 Subsampling 3 Bipower Variation 2 Bipower variation 2 Estimation theory 2 Realised kernel 2 Schätztheorie 2 Time series analysis 2 Zeitreihenanalyse 2 Analysis of variance 1 Autocorrelation 1 Autokorrelation 1 Correlation 1 Einheitswurzeltest 1 F-distribution 1 Fourier transform 1 HAC Estimator 1 HAR 1 Heteroskedasticity- and autocorrelation-robust estimation 1 Kernel 1 Kleinste-Quadrate-Methode 1 Korrelation 1 Least squares method 1 Long-run variance estimator 1 Market microstructure 1 Market microstructure noise 1 Marktmikrostruktur 1 Noise Trading 1 Noise trading 1 Quadratic covariation 1 Realised Kernal 1 Regression analysis 1
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Online availability
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Free 10 Undetermined 2
Type of publication
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Book / Working Paper 12 Article 2
Type of publication (narrower categories)
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Arbeitspapier 1 Article in journal 1 Aufsatz im Buch 1 Aufsatz in Zeitschrift 1 Book section 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
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Language
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English 8 Undetermined 6
Author
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Barndorff-Nielsen, Ole E. 11 Shephard, Neil 11 Hansen, Peter Reinhard 8 Lunde, Asger 8 Hansen, Peter R. 1 Kolokotrones, Thomas 1 Linton, Oliver 1 Park, Sujin 1 Stock, James H. 1 Sun, Yixiao 1 Walker, Christopher D. 1
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Institution
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Department of Economics, Oxford University 3 Economics Group, Nuffield College, University of Oxford 2 Finance Research Centre, Oxford University 2 HAL 2 Institute of Economic Research, Hitotsubashi University 1 School of Economics and Management, University of Aarhus 1
Published in...
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Economics Series Working Papers / Department of Economics, Oxford University 3 Economics Papers / Economics Group, Nuffield College, University of Oxford 2 OFRC Working Papers Series 2 Post-Print / HAL 2 CREATES Research Papers 1 Discussion paper / LSE Financial Markets Group 1 Essays in honor of Joon Y. Park : econometric theory 1 Global COE Hi-Stat Discussion Paper Series 1 Journal of econometrics 1
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Source
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RePEc 11 ECONIS (ZBW) 3
Showing 11 - 14 of 14
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Designing realised kernels to measure the ex-post variation of equity prices in the presence of noise
Shephard, Neil; Barndorff-Nielsen, Ole E. - Department of Economics, Oxford University - 2006
This paper shows how to use realised kernels to carry out efficient feasible inference on the ex-post variation of underlying equity prices in the presence of simple models of market frictions. The issue is subtle with only estimators which have symmetric weights delivering consistent estimators...
Persistent link: https://www.econbiz.de/10010820319
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Subsampling realised kernels
Barndorff-Nielsen, Ole E.; Hansen, Peter Reinhard; … - Economics Group, Nuffield College, University of Oxford - 2006
In a recent paper we have introduced the class of realised kernel estimators of the increments of quadratic variation in the presence of noise. We showed that this estimator is consistent and derived its limit distribution under various assumptions on the kernel weights. In this paper we extend...
Persistent link: https://www.econbiz.de/10005687532
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Cover Image
Multivariate realised kernels: consistent positive semi-definite estimators of the covariation of equity prices with noise and non-synchronous trading
Barndorff-Nielsen, Ole E.; Hansen, Peter Reinhard; … - Finance Research Centre, Oxford University - 2008
We propose a multivariate realised kernel to estimate the ex-post covariation of log-prices. We show this new consistent estimator is guaranteed to be positive semi-definite and is robust to measurement noise of certain types and can also handle non-synchronous trading. It is the first estimator...
Persistent link: https://www.econbiz.de/10005212102
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Cover Image
Subsampling realised kernels
Barndorff-Nielsen, Ole E.; Hansen, Peter R.; Lunde, Asger; … - Finance Research Centre, Oxford University - 2006
In a recent paper we have introduced the class of realised kernel estimators of the increments of quadratic variation in the presence of noise. We showed that this estimator is consistent and derived its limit distribution under various assumptions on the kernel weights. In this paper we extend...
Persistent link: https://www.econbiz.de/10005227064
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