Modeling daily return volatility through GJR(1,1) model and realized volatility measure
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Publication:6594122
Didit Budi Nugroho, Asido Saragih, Handoko Wibowo
Publication date: 28 August 2024
Published in: Thailand Statistician (Search for Journal in Brave)
Cites Work
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- A flexible prior distribution for Markov switching autoregressions with Student-\(t\) errors
- Generalized autoregressive conditional heteroscedasticity
- Optimization methods in structural design
- Rank-normalization, folding, and localization: an improved \(\widehat{R}\) for assessing convergence of MCMC (with Discussion)
- Designing Realized Kernels to Measure the ex post Variation of Equity Prices in the Presence of Noise
- Forecasting risk via realized GARCH, incorporating the realized range
- Improvement on Monte Carlo estimation of HPD intervals
- Mathematical Statistics with Applications in R
- Realized Non-linear Stochastic Volatility Models with Asymmetric Effects and Generalized Student's <i>t</i>-Distributions
- Bayesian Clustering of Many Garch Models
- The Akaike information criterion: background, derivation, properties, application, interpretation, and refinements
- Multivariate Stochastic Volatility Model With Realized Volatilities and Pairwise Realized Correlations
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