Forecasting trade durations via ACD models with mixture distributions
From MaRDI portal
Publication:5120735
DOI10.1080/14697688.2019.1618896zbMath1441.62270OpenAlexW2958062433WikidataQ127545968 ScholiaQ127545968MaRDI QIDQ5120735
Rasika Pushpamali Yatigammana, Jennifer So-Kuen Chan, Richard H. Gerlach
Publication date: 16 September 2020
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/14697688.2019.1618896
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to actuarial sciences and financial mathematics (62P05) Statistical methods; risk measures (91G70)
Related Items
Uses Software
Cites Work
- Unnamed Item
- Finite sample properties of the QMLE for the log-ACD model: application to Australian stocks
- Bayesian estimation and inference for log-ACD models
- Stable distributions for asset returns
- The Birnbaum-Saunders autoregressive conditional duration model
- Regime-switching Pareto distributions for ACD models
- Volatility forecasting using threshold heteroskedastic models of the intra-day range
- Comparison of alternative ACD models via density and interval forecasts: Evidence from the Australian stock market
- Nonparametric regression using Bayesian variable selection
- Estimating the dimension of a model
- A generalization of the beta distribution with applications
- Generalized autoregressive conditional heteroscedasticity
- Asymptotic behaviour of Bayes estimates and posterior distributions in multiparameter nonregular cases
- A Bayesian conditional autoregressive geometric process model for range data
- Bayesian value-at-risk and expected shortfall forecasting via the asymmetric Laplace distribution
- Stochastic volatility duration models
- Mixture Processes for Financial Intradaily Durations
- Time-Varying Mixing Weights in Mixture Autoregressive Conditional Duration Models
- Regression Quantiles
- On Gibbs sampling for state space models
- Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data
- MODELLING INSURANCE LOSSES USING CONTAMINATED GENERALISED BETA TYPE-II DISTRIBUTION
- Bayesian Measures of Model Complexity and Fit
- Non‐monotonic hazard functions and the autoregressive conditional duration model
- The Econometrics of Ultra-high-frequency Data
- Equation of State Calculations by Fast Computing Machines
- Monte Carlo sampling methods using Markov chains and their applications
- Analysis of Financial Time Series
- A nonlinear autoregressive conditional duration model with applications to financial transaction data
- The case for objective Bayesian analysis