Spectral estimation of the fractional order of a Lévy process
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Publication:847639
DOI10.1214/09-AOS715zbMath1181.62151arXiv1001.1820OpenAlexW1964855733MaRDI QIDQ847639
Publication date: 19 February 2010
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1001.1820
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Related Items (24)
Optimal \(L^2\)-approximation of occupation and local times for symmetric stable processes ⋮ High-frequency Donsker theorems for Lévy measures ⋮ Estimation of tempered stable Lévy models of infinite variation ⋮ Estimation of the activity of jumps in time-changed Lévy models ⋮ Adaptive nonparametric estimation for Lévy processes observed at low frequency ⋮ Testing whether jumps have finite or infinite activity ⋮ Minimax rates for the covariance estimation of multi-dimensional Lévy processes with high-frequency data ⋮ Third-order short-time expansions for close-to-the-money option prices under the CGMY model ⋮ Realized Laplace transforms for pure-jump semimartingales ⋮ Measuring the roughness of random paths by increment ratios ⋮ Calibration of self-decomposable Lévy models ⋮ Confidence sets in nonparametric calibration of exponential Lévy models ⋮ Statistical inference for time-changed Lévy processes via composite characteristic function estimation ⋮ Testing the characteristics of a Lévy process ⋮ Asymptotically optimal discretization of hedging strategies with jumps ⋮ Quantile estimation for Lévy measures ⋮ Identifying the successive Blumenthal-Getoor indices of a discretely observed process ⋮ HIGH‐ORDER SHORT‐TIME EXPANSIONS FOR ATM OPTION PRICES OF EXPONENTIAL LÉVY MODELS ⋮ Spectral estimation of the Lévy density in partially observed affine models ⋮ Estimation and Calibration of Lévy Models via Fourier Methods ⋮ A NEW LOOK AT SHORT-TERM IMPLIED VOLATILITY IN ASSET PRICE MODELS WITH JUMPS ⋮ Jump activity estimation for pure-jump semimartingales via self-normalized statistics ⋮ Intermittent process analysis with scattering moments ⋮ Explicit and combined estimators for parameters of stable distributions
Uses Software
Cites Work
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