Bauwens, Luc
[UCL]
Braione, Manuela
[UCL]
Giuseppe Storti
[Università di Salerno]
Novel model specifications that include a time-varying long-run component in the dynamics of realized covariance matrices are proposed. The modelling framework allows the secular component to enter the model either additively or as a multiplicative factor, and to be specified parametrically, using a MIDAS filter, or non-parametrically. Estimation is performed by maximizing a Wishart quasi-likelihood function. The one-step ahead forecasting performance is assessed by means of three approaches: model confidence sets, minimum variance portfolios and Value-at-Risk. The results show that the proposed models outperform benchmarks incorporating a constant long-run component both in and out-of-sample.
Bibliographic reference |
Bauwens, Luc ; Braione, Manuela ; Giuseppe Storti. Forecasting Comparison of Long Term Component Dynamic Models for Realized Covariance Matrices. In: Annals of Economics and Statistics, Vol. 123/124, p. 103-134 (2016) |
Permanent URL |
http://hdl.handle.net/2078.1/190981 |