38 Pages Posted: 28 Jan 2009
Date Written: January, 27 2009
The Multiplicative Error Model for nonnegative valued processes is specified as the product of a (conditionally autoregressive) scale factor and an innovation process with nonnegative support. A multivariate extension allows the innovations to be contemporaneously correlated. The estimation procedure is hindered by the lack of sufficiently flexible probability density functions for such processes. We adopt copula functions to be able to estimate the parameters of the scale factors and of the correlations of the innovation processes. We illustrate the feasibility of the procedure and the gains over the equation by equation approach using a model with different volatility measures.
Keywords: GARCH, MEM, Volatility, Copula, financial time series
Suggested Citation: Suggested Citation
Cipollini, Fabrizio and Engle, Robert F. and Gallo, Giampiero M., A Model for Multivariate Non-Negative Valued Processes in Financial Econometrics (January, 27 2009). Available at SSRN: https://ssrn.com/abstract=1333869 or http://dx.doi.org/10.2139/ssrn.1333869