Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time
Series
Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time
Series
This paper proposes a Matrix Error Correction Model to identify cointegration relations in matrix-valued time series. We hereby allow separate cointegrating relations along the rows and columns of the matrix-valued time series and use information criteria to select the cointegration ranks. Through Monte Carlo simulations and a macroeconomic application, we …