Estimating stochastic volatility models using daily returns and realized volatility simultaneously
From MaRDI portal
Publication:961439
DOI10.1016/j.csda.2008.07.039zbMath1453.62212OpenAlexW2034906991MaRDI QIDQ961439
Makoto Takahashi, Yasuhiro Omori, Toshiaki Watanabe
Publication date: 30 March 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.07.039
Computational methods for problems pertaining to statistics (62-08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05)
Related Items
Intraday Data vs Daily Data to Forecast Volatility in Financial Markets ⋮ Realized stochastic volatility with leverage and long memory ⋮ Extended stochastic volatility models incorporating realised measures ⋮ Bias correction in the realized stochastic volatility model for daily volatility on the Tokyo stock exchange ⋮ Modeling returns volatility: realized GARCH incorporating realized risk measure ⋮ Model complexity and out-of-sample performance: evidence from S\&P 500 index returns ⋮ Fast smoothing in switching approximations of non-linear and non-Gaussian models ⋮ Realized stochastic volatility with general asymmetry and long memory ⋮ カルマン・フィルターによるRealized Stochastic Volatilityモデルの疑似最尤推定について ⋮ Efficient Bayesian estimation of a multivariate stochastic volatility model with cross leverage and heavy-tailed errors ⋮ Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student's \(t\)-distribution ⋮ Generalized ARMA models with martingale difference errors ⋮ Dynamic factor, leverage and realized covariances in multivariate stochastic volatility ⋮ Review of statistical approaches for modeling high-frequency trading data ⋮ Particle rolling MCMC with double-block sampling ⋮ Student‐t stochastic volatility model with composite likelihood EM‐algorithm ⋮ Augmenting the realized-GARCH: the role of signed-jumps, attenuation-biases and long-memory effects ⋮ Improving the asymmetric stochastic volatility model with ex-post volatility: the identification of the asymmetry ⋮ Modeling realized covariance measures with heterogeneous liquidity: a generalized matrix-variate Wishart state-space model ⋮ Forecasting intraday volatility and value-at-risk with high-frequency data ⋮ Estimating stochastic volatility models using realized measures ⋮ Unnamed Item ⋮ Realized BEKK-CAW models ⋮ Simple factor realized stochastic volatility models ⋮ Unnamed Item ⋮ News impact curve for stochastic volatility models ⋮ Efficient parallelisation of Metropolis-Hastings algorithms using a prefetching approach ⋮ Box–Cox realized asymmetric stochastic volatility models with generalized Student'st-error distributions ⋮ Multivariate Stochastic Volatility Model with Cross Leverage ⋮ Incorporating realized quarticity into a realized stochastic volatility model ⋮ Skew exponential power stochastic volatility model for analysis of skewness, non-normal tails, quantiles and expectiles ⋮ Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution ⋮ GMM estimation of a realized stochastic volatility model: A Monte Carlo study ⋮ Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-based methods ⋮ Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers ⋮ Generalized autoregressive moving average models with GARCH errors
Uses Software
Cites Work
- Unnamed Item
- Out of sample forecasts of quadratic variation
- Stochastic volatility with leverage: fast and efficient likelihood inference
- Ultra high frequency volatility estimation with dependent microstructure noise
- Leverage, heavy-tails and correlated jumps in stochastic volatility models
- Block sampler and posterior mode estimation for asymmetric stochastic volatility models
- Empirical modeling of exchange rate dynamics
- Markov chains for exploring posterior distributions. (With discussion)
- Efficient estimation of stochastic volatility using noisy observations: a multi-scale approach
- Non-Gaussian Ornstein–Uhlenbeck-based Models and Some of Their Uses in Financial Economics
- Marginal Likelihood from the Gibbs Output
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- Microstructure Noise, Realized Variance, and Optimal Sampling
- Realized Volatility: A Review
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- Likelihood analysis of non-Gaussian measurement time series
- A simple and efficient simulation smoother for state space time series analysis
- Filtering via Simulation: Auxiliary Particle Filters
- Disturbance smoother for state space models
- The Distribution of Realized Exchange Rate Volatility
- Marginal Likelihood From the Metropolis–Hastings Output
- The simulation smoother for time series models
- A multi-move sampler for estimating non-Gaussian time series models: Comments on Shephard & Pitt (1997)
- A Tale of Two Time Scales