Efficient estimation of drift parameters in stochastic volatility models
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Publication:2463719
DOI10.1007/s00780-007-0048-2zbMath1142.62089OpenAlexW2011551464MaRDI QIDQ2463719
Publication date: 16 December 2007
Published in: Finance and Stochastics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00780-007-0048-2
efficient estimatorrealized volatilitystochastic volatility modelmicrostructure noiseintegrated volatility
Asymptotic properties of parametric estimators (62F12) Applications of statistics to actuarial sciences and financial mathematics (62P05) Non-Markovian processes: estimation (62M09)
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Cites Work
- Unnamed Item
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- Estimation for diffusion processes from discrete observation
- On the estimation of the diffusion coefficient for multi-dimensional diffusion processes
- Quasi-maximum likelihood estimation of stochastic volatility models
- Rate of convergence for parametric estimation in a stochastic volatility model.
- Estimating stochastic volatility diffusion using conditional moments of integrated volatility
- Parameter estimation for discretely observed stochastic volatility models
- Stochastic volatility and fractional Brownian motion
- Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach
- Discrete sampling of an integrated diffusion process and parameter estimation of the diffusion coefficient
- Prediction‐based estimating functions
- Parameter Estimation for a Discretely Observed Integrated Diffusion Process
- Approximate discrete-time schemes for statistics of diffusion processes
- Estimation of an Ergodic Diffusion from Discrete Observations
- Estimation du coefficient de diffusion de la volatilité d'un modèle à volatilité stochastique
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Correcting the Errors: Volatility Forecast Evaluation Using High-Frequency Data and Realized Volatilities
- Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics
- Semi-Parametric Comparison of Stochastic Volatility Models using Realized Measures
- General analogues to the law of the iterated logarithm
- A Tale of Two Time Scales
- Stochastic volatility models as hidden Markov models and statistical applications