Phillips, Peter C.B.; Kim, Chang Sik - Cowles Foundation for Research in Economics, Yale University - 2007
An asymptotic expansion is given for the autocovariance matrix of a vector of stationary long-memory processes with memory parameters d satisfying 0 < d < 1/2. The theory is then applied to deliver formulae for the long run covariance matrices of multivariate time series with long memory.