Testing for pure-jump processes for high-frequency data
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Publication:2343966
DOI10.1214/14-AOS1298zbMath1312.62101arXiv1504.00461MaRDI QIDQ2343966
Xin-Bing Kong, Zhi Liu, Bing-Yi Jing
Publication date: 11 May 2015
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1504.00461
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Cites Work
- Unnamed Item
- Unnamed Item
- The Pricing of Options and Corporate Liabilities
- A Jump-Diffusion Model for Option Pricing
- Modeling high-frequency financial data by pure jump processes
- Limit theorems for power variations of pure-jump processes with application to activity estima\-tion
- Is Brownian motion necessary to model high-frequency data?
- Nonparametric estimation for a class of Lévy processes
- Realized Laplace transforms for estimation of jump diffusive volatility models
- On the jump activity index for semimartingales
- Limit theorems for the empirical distribution function of scaled increments of Itô semimartingales at high frequencies
- Exotic options under Lévy models: an overview
- Estimating the degree of activity of jumps in high frequency data
- Processes of normal inverse Gaussian type
- Testing for pure-jump processes for high-frequency data
- Microstructure noise in the continuous case: the pre-averaging approach
- Efficient estimation of integrated volatility in presence of infinite variation jumps
- A Lévy process-based framework for the fair valuation of participating life insurance contracts
- Nonparametric inference of discretely sampled stable Lévy processes
- Activity signature functions for high-frequency data analysis
- Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- The Realized Laplace Transform of Volatility
- Equilibrium asset pricing: with non-Gaussian factors and exponential utilities
- Pure jump shock models in reliability
- Normal Inverse Gaussian Distributions and Stochastic Volatility Modelling
- The normal inverse gaussian lévy process: simulation and approximation
- Transform Analysis and Asset Pricing for Affine Jump-diffusions
- Stochastic Volatility for Lévy Processes
- The Variance Gamma Process and Option Pricing
- Option pricing when underlying stock returns are discontinuous
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