A Statistical Recurrent Stochastic Volatility Model for Stock Markets
From MaRDI portal
Publication:6149855
DOI10.1080/07350015.2022.2028631arXiv1906.02884OpenAlexW4206840367MaRDI QIDQ6149855
Unnamed Author, Robert Kohn, Minh-Ngoc Tran, David Gunawan
Publication date: 5 March 2024
Published in: Journal of Business & Economic Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1906.02884
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Time series forecasting using a hybrid ARIMA and neural network model
- The Correlated Pseudo-Marginal Method
- On some properties of Markov chain Monte Carlo simulation methods based on the particle filter
- A class of nonlinear stochastic volatility models and its implications for pricing currency options
- Fractionally integrated generalized autoregressive conditional heteroskedasticity
- Long-range dependence in the conditional variance of stock returns
- The detection and estimation of long memory in stochastic volatility
- Generalized autoregressive conditional heteroscedasticity
- Rescaled variance and related tests for long memory in volatility and levels
- Modeling and pricing long memory in stock market volatility
- Conditional Heteroskedasticity in Asset Returns: A New Approach
- Sequential Monte Carlo Samplers
- AN INTRODUCTION TO LONG-MEMORY TIME SERIES MODELS AND FRACTIONAL DIFFERENCING
- A Class of Nonlinear Arch Models
- Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models
- Long-Term Memory in Stock Market Prices
- Sequential Monte Carlo Methods for Dynamic Systems
- Bayes Factors
- The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC
- Efficient implementation of Markov chain Monte Carlo when using an unbiased likelihood estimator
- SMC2: An Efficient Algorithm for Sequential Analysis of State Space Models
This page was built for publication: A Statistical Recurrent Stochastic Volatility Model for Stock Markets