Least squares estimations for approximate fractional vasicek model driven by a semimartingale
From MaRDI portal
Publication:6104221
DOI10.1016/J.MATCOM.2023.01.015MaRDI QIDQ6104221
No author found.
Publication date: 28 June 2023
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
strong consistencysemimartingaleleast squares estimation\(L^2\)-approximate approachapproximation fractional vasicek processes
Cites Work
- Unnamed Item
- Estimation and pricing under long-memory stochastic volatility
- Least squares estimator for non-ergodic Ornstein-Uhlenbeck processes driven by Gaussian processes
- A fractional Hull-White model
- Least squares estimation for the drift parameters in the sub-fractional Vasicek processes
- Fractal Langevin equation
- A note on fractional Brownian motion
- Estimating drift parameters in a non-ergodic Gaussian Vasicek-type model
- Maximum likelihood estimation of stochastic differential equations with random effects driven by fractional Brownian motion
- Stochastic calculus for fractional Brownian motion and related processes.
- An approximate approach to fractional analysis for finance
- An inequality of the Hölder type, connected with Stieltjes integration
- Long memory in continuous-time stochastic volatility models
- Stochastic volatility and option pricing with long-memory in discrete and continuous time
- The Malliavin Calculus and Related Topics
- ASYMPTOTIC THEORY FOR ESTIMATING DRIFT PARAMETERS IN THE FRACTIONAL VASICEK MODEL
- Pricing under rough volatility
- An equilibrium characterization of the term structure
This page was built for publication: Least squares estimations for approximate fractional vasicek model driven by a semimartingale