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Allows the user to estimate a vector logistic smooth transition autoregressive model via maximum log-likelihood or nonlinear least squares. It further permits to test for linearity in the multivariate framework against a vector logistic smooth transition autoregressive model with a single transition variable. The estimation method is discussed in Terasvirta and Yang (2014, doi:10.1108/S0731-9053(2013)0000031008). Also, realized covariances can be constructed from stock market prices or returns, as explained in Andersen et al. (2001, doi:10.1016/S0304-405X(01)00055-1).
github.com/andbucci/starvars |
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