Moments and ergodicity of the jump-diffusion CIR process
DOI10.1080/17442508.2019.1576686zbMath1495.60070arXiv1709.00969OpenAlexW2962934774WikidataQ128491614 ScholiaQ128491614MaRDI QIDQ5087038
Jonas Kremer, Peng Jin, Barbara Rüdiger
Publication date: 8 July 2022
Published in: Stochastics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1709.00969
ergodicityexponential ergodicityfractional momentCIR (Cox-Ingersoll-Ross) model with jumpsForster-Lyapunov function
Continuous-time Markov processes on general state spaces (60J25) Ergodicity, mixing, rates of mixing (37A25) Transition functions, generators and resolvents (60J35) Jump processes on general state spaces (60J76)
Related Items (6)
Cites Work
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- Moment formulas for multitype continuous state and continuous time branching process with immigration
- Mathematical methods for financial markets.
- Ergodicity and exponential \(\beta\)-mixing bounds for multidimensional diffusions with jumps
- Yield curve shapes and the asymptotic short rate distribution in affine one-factor models
- Affine processes and applications in finance
- Asymptotic properties of maximum likelihood estimator for the growth rate for a jump-type CIR process based on continuous time observations
- Moments of continuous-state branching processes with or without immigration
- Stochastic equations of non-negative processes with jumps
- Exponential moments of affine processes
- Asymptotic properties of estimators in a stable Cox-Ingersoll-Ross model
- Exponential Ergodicity of the Jump-Diffusion CIR Process
- Asymptotic Behavior of the Maximum Likelihood Estimator for Ergodic and Nonergodic Square-Root Diffusions
- A Theory of the Term Structure of Interest Rates
- MOMENT EXPLOSIONS AND LONG-TERM BEHAVIOR OF AFFINE STOCHASTIC VOLATILITY MODELS
- Stability of Markovian processes II: continuous-time processes and sampled chains
- Stability of Markovian processes III: Foster–Lyapunov criteria for continuous-time processes
- Parameter Estimation for the Square-Root Diffusions: Ergodic and Nonergodic Cases
- Stationarity and Ergodicity for an Affine Two-Factor Model
- Markov Chains and Stochastic Stability
- Estimation for Continuous Branching Processes
- On the functional central limit theorem and the law of the iterated logarithm for Markov processes
- Stability of Markovian processes I: criteria for discrete-time Chains
- Orthogonal expansions for VIX options under affine jump diffusions
- Exponential ergodicity of an affine two-factor model based on the α-root process
- Markov Processes, Gaussian Processes, and Local Times
- Measure and integration theory. Transl. from the German by Robert B. Burckel
- A general characterization of one factor affine term structure models
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