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  • Search: subject:"realised kernel"
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Year of publication
Subject
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Realised kernel 4 ARCH models 3 realised kernel 3 realised volatility 3 Bipower variation 2 Long run variance estimator 2 Market frictions 2 Quadratic variation 2 Realised variance 2 Subsampling 2 bootstrap 2 missing data 2 multiplicative error model 2 multistep ahead prediction 2 non-nested likelihood ratio test 2 ARCH model 1 ARCH-Modell 1 Ausreißer 1 Bootstrap 1 Expected shortfall 1 Extreme value theory 1 Forecasting model 1 Levy Process 1 Levy process 1 Missing data 1 Multiplicative error model 1 Multistep ahead prediction 1 Non-nested likelihood ratio test 1 Outliers 1 Prognoseverfahren 1 Realised GARCH 1 Realised Kernel 1 Realised Volatility 1 Realised volatility 1 Risikomaß 1 Risk measure 1 Skewed student-t 1 Statistical distribution 1 Statistische Verteilung 1 Stochastic Volatility 1
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Online availability
All
Free 4 Undetermined 1
Type of publication
All
Book / Working Paper 7 Article 1
Type of publication (narrower categories)
All
Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 4 Undetermined 4
Author
All
Shephard, Neil 7 Barndorff-Nielsen, Ole E. 4 Sheppard, Kevin 3 Lunde, Asger 2 Hansen, Peter R. 1 Hansen, Peter Reinhard 1 Paul, Samit 1 Sharma, Prateek 1
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Institution
All
Finance Research Centre, Oxford University 3 Department of Economics, Oxford University 2 Economics Group, Nuffield College, University of Oxford 2
Published in...
All
OFRC Working Papers Series 3 Economics Papers / Economics Group, Nuffield College, University of Oxford 2 Economics Series Working Papers / Department of Economics, Oxford University 2 IIMB management review 1
Source
All
RePEc 7 ECONIS (ZBW) 1
Showing 1 - 8 of 8
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Forecasting gains by using extreme value theory with realised GARCH filter
Paul, Samit; Sharma, Prateek - In: IIMB management review 33 (2021) 1, pp. 64-70
Persistent link: https://www.econbiz.de/10013205188
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Realising the future: forecasting with high frequency based volatility (HEAVY) models
Shephard, Neil; Sheppard, Kevin - Department of Economics, Oxford University - 2009
This paper studies in some detail a class of high frequency based volatility (HEAVY) models.  These models are direct models of daily asset return volatility based on realized measures constructed from high frequency data.  Our analysis identifies that the models have momentum and mean...
Persistent link: https://www.econbiz.de/10005007822
Saved in:
Cover Image
Realising the future: forecasting with high frequency based volatility (HEAVY) models
Shephard, Neil; Sheppard, Kevin - Economics Group, Nuffield College, University of Oxford - 2009
This paper studies in some detail a class of high frequency based volatility (HEAVY) models. These models are direct models of daily asset return volatility based on realized measures constructed from high frequency data. Our analysis identifies that the models have momentum and mean reversion...
Persistent link: https://www.econbiz.de/10008469674
Saved in:
Cover Image
Modelling and measuring volatility
Shephard, Neil; Barndorff-Nielsen, Ole E. - Department of Economics, Oxford University - 2008
Persistent link: https://www.econbiz.de/10010605090
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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 …
Persistent link: https://www.econbiz.de/10005687532
Saved in:
Cover Image
Realising the future: forecasting with high frequency based volatility (HEAVY) models
Shephard, Neil; Sheppard, Kevin - Finance Research Centre, Oxford University - 2009
This paper studies in some detail a class of high frequency based volatility (HEAVY) models. These models are direct models of daily asset return volatility based on realized measures constructed from high frequency data. Our analysis identifies that the models have momentum and mean reversion...
Persistent link: https://www.econbiz.de/10005039607
Saved in:
Cover Image
Modelling and measuring volatility
Barndorff-Nielsen, Ole E.; Shephard, Neil - Finance Research Centre, Oxford University - 2008
Persistent link: https://www.econbiz.de/10005212059
Saved in:
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 …
Persistent link: https://www.econbiz.de/10005227064
Saved in:
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