Comparing unconstrained parametrization methods for return covariance matrix prediction
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Publication:2084329
DOI10.1007/s11222-022-10157-4zbMath1496.62004OpenAlexW4303699404MaRDI QIDQ2084329
Luigi Ippoliti, Pasquale Valentini, Andrea Bucci
Publication date: 18 October 2022
Published in: Statistics and Computing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11222-022-10157-4
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to actuarial sciences and financial mathematics (62P05)
Cites Work
- The Model Confidence Set
- Bayesian stochastic search for VAR model restrictions
- On loss functions and ranking forecasting performances of multivariate volatility models
- Forecasting multivariate realized stock market volatility
- Computing a nearest symmetric positive semidefinite matrix
- Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers
- Statistical Shape Analysis, with Applications in R
- The Matrix-Logarithmic Covariance Model
- Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use?
- Computing the Polar Decomposition—with Applications
- Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
- Transformation of non positive semidefinite correlation matrices
- Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
- On the Modelling and Forecasting of Multivariate Realized Volatility: Generalized Heterogeneous Autoregressive (GHAR) Model
- The Distribution of Realized Exchange Rate Volatility
- Vast Volatility Matrix Estimation Using High-Frequency Data for Portfolio Selection
- A New Parametrization of Correlation Matrices
- Bayesian Compressed Regression
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Modeling and Forecasting Realized Volatility
- Econometric Analysis of Realized Covariation: High Frequency Based Covariance, Regression, and Correlation in Financial Economics
- A Tale of Two Time Scales
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