Evidence for hedge fund predictability from a multivariate Student'stfull-factor GARCH model
From MaRDI portal
Publication:5127039
DOI10.1080/02664763.2011.644771OpenAlexW1985263145MaRDI QIDQ5127039
Publication date: 21 October 2020
Published in: Journal of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02664763.2011.644771
model uncertaintypredictabilityhedge fundsfat tailsStudent's \(t\)-distributionmultivariate GARCH model
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Matrix exponential GARCH
- Estimating the dimension of a model
- Bayesian model averaging: A tutorial. (with comments and a rejoinder).
- Analytical score for multivariate GARCH models
- Bayesian comparison of bivariate ARCH-type models for the main exchange rates in Poland
- Markov chains for exploring posterior distributions. (With discussion)
- A Student-\(t\) full factor multivariate GARCH model
- Forecasting in dynamic factor models using Bayesian model averaging
- Multivariate Student-t regression models: Pitfalls and inference
- A full-factor multivariate GARCH model
- Bayes Factors
- A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion
- Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models
- Detecting structural breaks in multivariate financial time series: evidence from hedge fund investment strategies
- Modelling volatility asymmetries: a Bayesian analysis of a class of tree structured multivariate GARCH models
- Common risk factors in the returns on stocks and bonds
- A Family of Variable-Metric Methods Derived by Variational Means
- Conditioning of Quasi-Newton Methods for Function Minimization
This page was built for publication: Evidence for hedge fund predictability from a multivariate Student'stfull-factor GARCH model