Determination of Long‐run and Short‐run Dynamics in EC‐VARMA Models via Canonical Correlations
通过典型相关确定误差修正 VARMA 模型的长期与短期动态
Summary This article studies a simple, coherent approach for identifying and estimating error‐correcting vector autoregressive moving average (EC‐VARMA) models. Canonical correlation analysis is implemented for both determining the cointegrating rank, using a strongly consistent method, and identifying the short‐run VARMA dynamics, using the scalar component methodology. Finite‐sample performance is evaluated via Monte Carlo simulations and the approach is applied to…