On the consistency of the MLE for Ornstein-Uhlenbeck and other selfdecomposable processes
DOI10.1007/s11203-015-9118-9zbMath1333.62075OpenAlexW2048773257MaRDI QIDQ265662
Publication date: 4 April 2016
Published in: Statistical Inference for Stochastic Processes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11203-015-9118-9
MLEstable distributionsconsistent estimatorOrnstein-Uhlenbeck processesselfdecomposable distributionstempered stable distributions
Processes with independent increments; Lévy processes (60G51) Asymptotic properties of parametric estimators (62F12) Markov processes: estimation; hidden Markov models (62M05) Stable stochastic processes (60G52)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Tempered stable distributions and processes
- Does value-at-risk encourage diversification when losses follow tempered stable or more general Lévy processes?
- Nonparametric estimation for Lévy processes from low-frequency observations
- Maximum likelihood estimation in processes of Ornstein-Uhlenbeck type
- Ergodicity and exponential \(\beta\)-mixing bounds for multidimensional diffusions with jumps
- Tempering stable processes
- On the shapes of bilateral gamma densities
- On the asymptotic normality of the maximum-likelihood estimate when sampling from a stable distribution
- Bilateral gamma distributions and processes in financial mathematics
- A subclass of type \(G\) selfdecomposable distributions on \(\mathbb R^d\)
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- Infinite Variation Tempered Stable Ornstein–Uhlenbeck Processes with Discrete Observations
- Tempered stable Ornstein– Uhlenbeck processes: A practical view
- Do financial returns have finite or infinite variance? A paradox and an explanation
- Exact discrete sampling of finite variation tempered stable Ornstein–Uhlenbeck processes
- On the Transition Law of Tempered Stable Ornstein–Uhlenbeck Processes
- Modelling Cell Generation Times by Using the Tempered Stable Distribution
- Survival models for heterogeneous populations derived from stable distributions
- Maximum Likelihood Estimates of Symmetric Stable Distribution Parameters
- Stochastic Process with Ultraslow Convergence to a Gaussian: The Truncated Lévy Flight
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- Financial Modelling with Jump Processes
- On a new Class of Tempered Stable Distributions: Moments and Regular Variation
- Limit Theorems and Phase Transitions for Two Models of Summation of Independent Identically Distributed Random Variables with a Parameter
- Note on the Consistency of the Maximum Likelihood Estimate
- Stochastic volatility models as hidden Markov models and statistical applications
This page was built for publication: On the consistency of the MLE for Ornstein-Uhlenbeck and other selfdecomposable processes