Small noise fluctuations of the CIR model driven by \(\alpha\)-stable noises
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Publication:466985
DOI10.1016/j.spl.2014.07.001zbMath1320.60075OpenAlexW2074115508MaRDI QIDQ466985
Publication date: 3 November 2014
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.spl.2014.07.001
central limit theoremlarge deviationsleast squares estimatormoderate deviationsCox-Ingersoll-Ross model\(\alpha\)-stable noises
Asymptotic properties of parametric estimators (62F12) Central limit and other weak theorems (60F05) Large deviations (60F10) Stable stochastic processes (60G52)
Related Items (9)
Maximum likelihood type estimation for discretely observed CIR model with small \(\alpha\)-stable noises ⋮ Least squares estimator of Ornstein-Uhlenbeck processes driven by fractional Lévy processes with periodic mean ⋮ Parameter estimation for the discretely observed vasicek model with small fractional Lévy noise ⋮ Least squares estimators for stochastic differential equations driven by small Lévy noises ⋮ Asymptotic properties of maximum likelihood estimator for the growth rate of a stable CIR process based on continuous time observations ⋮ Hybrid estimators for small diffusion processes based on reduced data ⋮ Least squares estimator for stochastic differential equations driven by small fractional Lévy noises from discrete observations ⋮ Least squares estimator of fractional Ornstein-Uhlenbeck processes with periodic mean for general Hurst parameter ⋮ Least squares estimator for Ornstein-Uhlenbeck processes driven by fractional Lévy processes from discrete observations
Cites Work
- Unnamed Item
- Least squares estimators for discretely observed stochastic processes driven by small Lévy noises
- Least squares estimator for discretely observed Ornstein-Uhlenbeck processes with small Lévy noises
- Extremal behavior of stochastic integrals driven by regularly varying Lévy processes
- Approximate martingale estimating functions for stochastic differential equations with small noises
- A note on ``Least squares estimator for discretely observed Ornstein-Uhlenbeck processes with small Lévy noises
- Estimation for stochastic differential equations with a small diffusion coefficient
- Deviation inequalities and moderate deviations for estimators of parameters in an Ornstein-Uhlenbeck process with linear drift
- Asymptotic expansions of maximum likelihood estimators for small diffusions via the theory of Malliavin-Watanabe
- Small-diffusion asymptotics for discretely sampled stochastic differential equations
- Asymptotic expansion for small diffusions applied to option pricing
- On pathwise uniqueness for stochastic differential equations driven by stable Lévy processes
- Strong solutions for stochastic differential equations with jumps
- Nadaraya-Watson estimator for stochastic processes driven by stable Lévy motions
- Stochastic equations of non-negative processes with jumps
- A sufficient condition for asymptotic sufficiency of incomplete observations of a diffusion process
- Estimation for Discretely Observed Small Diffusions Based on Approximate Martingale Estimating Functions
- Maximnm contrast estimation for diffusion processes from discrete observations
- Regularly varying functions
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