Portfolio Selection with Common Correlation Mixture Models
From MaRDI portal
Publication:3606095
DOI10.1007/978-3-7908-2050-8_4zbMath1154.91600OpenAlexW178792545MaRDI QIDQ3606095
Publication date: 26 February 2009
Published in: Contributions to Economics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-7908-2050-8_4
Related Items (2)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Modelling high-dimensional data by mixtures of factor analyzers
- Regime switching for dynamic correlations
- Analysis of time series subject to changes in regime
- Conditional volatility, skewness, and kurtosis: Existence, persistence, and comovements
- Asymmetric multivariate normal mixture GARCH
- Estimating the dimension of a model
- Dynamic linear models with Markov-switching
- Autoregressive conditional heteroskedasticity and changes in regime
- Specification testing in Markov-switching time-series models
- Moments of Markov switching models
- Maximum likelihood estimation via the ECM algorithm: A general framework
- Mixture Densities, Maximum Likelihood and the EM Algorithm
- On a Mixture GARCH Time-Series Model
- Estimation for Markowitz Efficient Portfolios
- A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
- How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis
This page was built for publication: Portfolio Selection with Common Correlation Mixture Models