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  • Search: subject:"Blumenthal–Getoor index"
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Year of publication
Subject
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Blumenthal-Getoor index 8 Blumenthal–Getoor index 4 Stochastischer Prozess 3 jumps 3 Activity index 2 Optionspreistheorie 2 Stochastic process 2 Volatility 2 activity index 2 realized power variation 2 regular Lévy processes 2 semiparametric estimation 2 Abelian theorem 1 Affine stochastic volatility model 1 Aktienindex 1 Bootstrap 1 Bootstrap approach 1 Bootstrap-Verfahren 1 CAPM 1 Central Limit Theorem 1 Characteristic triplet 1 Confidence intervals 1 Empirical characteristic function 1 Estimation theory 1 Feller process 1 Finanzmathematik 1 Hausdorff dimension 1 High-frequency data 1 Hypothesis testing 1 Index 1 Index number 1 It^o semimartingale 1 Jump activity 1 Jump density 1 Jump process 1 Levy process 1 Lévy exponential models 1 Lévy process 1 Lévy–Khinchine characteristics 1 Nichtparametrisches Verfahren 1
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Online availability
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Free 6 Undetermined 6
Type of publication
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Article 7 Book / Working Paper 5
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2 Working Paper 1
Language
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Undetermined 8 English 4
Author
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Todorov, Viktor 4 Belomestny, Denis 3 Tauchen, George 3 Hounyo, Ulrich 1 Kliber, Pawel 1 Knopova, V. 1 Mijatović, Aleksandar 1 Panov, Vladimir 1 Reiß, Markus 1 Schilling, R.L. 1 Tankov, Peter 1 Varneskov, Rasmus Tangsgaard 1 Wang, J. 1
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Institution
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Duke University, Department of Economics 3 Sonderforschungsbereich 649: Ökonomisches Risiko, Wirtschaftswissenschaftliche Fakultät 1
Published in...
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Stochastic Processes and their Applications 3 Working Papers / Duke University, Department of Economics 3 Dynamic Econometric Models 1 Journal of econometrics 1 Mathematical finance : an international journal of mathematics, statistics and financial theory 1 SFB 649 Discussion Paper 1 SFB 649 Discussion Papers 1 Statistics & Probability Letters 1
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Source
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RePEc 9 ECONIS (ZBW) 2 EconStor 1
Showing 11 - 12 of 12
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Power variation from second order differences for pure jump semimartingales
Todorov, Viktor - In: Stochastic Processes and their Applications 123 (2013) 7, pp. 2829-2850
We introduce power variation constructed from powers of the second-order differences of a discretely observed pure-jump semimartingale processes. We derive the asymptotic behavior of the statistic in the setting of high-frequency observations of the underlying process with a fixed time span....
Persistent link: https://www.econbiz.de/10011065044
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Abelian theorems for stochastic volatility models with application to the estimation of jump activity
Belomestny, Denis; Panov, Vladimir - In: Stochastic Processes and their Applications 123 (2013) 1, pp. 15-44
In this paper, we prove a kind of Abelian theorem for a class of stochastic volatility models (X,V) where both the state process X and the volatility process V may have jumps. Our results relate the asymptotic behavior of the characteristic function of XΔ for some Δ0 in a stationary regime to...
Persistent link: https://www.econbiz.de/10011065077
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