Estimating Jump Activity Using Multipower Variation

Cites Work

Modeling high-frequency financial data by pure jump processes
Nonparametric tests for pathwise properties of semimartingales
Limit theorems for power variations of pure-jump processes with application to activity estima\-tion
Is Brownian motion necessary to model high-frequency data?
Discretization of processes.
Threshold bipower variation and the impact of jumps on volatility forecasting
On the jump activity index for semimartingales
Estimating the degree of activity of jumps in high frequency data
Processes of normal inverse Gaussian type
Realized power variation and stochastic volatility models
A local stable bootstrap for power variations of pure-jump semimartingales and activity index estimation
The fine structure of equity-index option dynamics
Asymptotic properties of realized power variations and related functionals of semimartingales
Limit theorems for multipower variation in the presence of jumps
Jump activity estimation for pure-jump semimartingales via self-normalized statistics
Activity signature functions for high-frequency data analysis
Limit theorems for bipower variation of semimartingales
Volatility Jumps
Estimating the Jump Activity Index Under Noisy Observations Using High-Frequency Data
LIMIT THEOREMS FOR BIPOWER VARIATION IN FINANCIAL ECONOMETRICS
Non‐parametric Threshold Estimation for Models with Stochastic Diffusion Coefficient and Jumps
Inference in Lévy-type stochastic volatility models
On certain self-decomposable distributions
The normal inverse gaussian lévy process: simulation and approximation
Variational sums and power variation: a unifying approach to model selection and estimation in semimartingale models
Stochastic Volatility for Lévy Processes
The Variance Gamma Process and Option Pricing