A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection
The North American Journal of Economics and Finance(2020)
摘要
•The novel TVM-Copula-MIDAS-GARCH model is developed.•It models time-varying multivariate Copula on mixed frequency data via MIDAS.•It allows mixed frequency factors for nonlinear dependence structure among assets.•Its efficacy is demonstrated through dependence analysis and portfolio selection.
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关键词
Time-varying multivariate copula,Mixed data sampling,MIDAS-Copula,GARCH,Portfolio,VaR
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