Nonparametric tests for pathwise properties of semimartingales
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Publication:453304
DOI10.3150/10-BEJ293zbMath1345.62074arXiv1104.4429OpenAlexW2078077640MaRDI QIDQ453304
Publication date: 19 September 2012
Published in: Bernoulli (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1104.4429
jump processesquadratic variationsemimartingalehigh frequency datarealized volatilitynonparametric tests
Processes with independent increments; Lévy processes (60G51) Nonparametric hypothesis testing (62G10) Central limit and other weak theorems (60F05) Martingales with continuous parameter (60G44) Sample path properties (60G17)
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Cites Work
- Unnamed Item
- Unnamed Item
- A Jump-Diffusion Model for Option Pricing
- Testing whether jumps have finite or infinite activity
- Estimating the degree of activity of jumps in high frequency data
- Testing for jumps in a discretely observed process
- Semimartingales: A course on stochastic processes
- Asymptotic error distributions for the Euler method for stochastic differential equations
- The Euler scheme for Lévy driven stochastic differential equations: limit theorems.
- Asymptotic properties of realized power variations and related functionals of semimartingales
- Limit theorems for multipower variation in the presence of jumps
- Some remarks on first passage of Lévy processes, the American put and pasting principles
- Activity signature functions for high-frequency data analysis
- Analyzing the Fine Structure of Continuous Time Stochastic Processes
- Non‐parametric Threshold Estimation for Models with Stochastic Diffusion Coefficient and Jumps
- Financial Modelling with Jump Processes
- Estimating functions for diffusion-type processes
- Option pricing when underlying stock returns are discontinuous
- Estimation of the Characteristics of the Jumps of a General Poisson-Diffusion Model
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