Modeling Multiple Time Series with Applications

Abstract

Abstract An approach to the modeling and analysis of multiple time series is proposed. Properties of a class of vector autoregressive moving average models are discussed. Modeling procedures consisting of tentative specification, estimation, and diagnostic checking are outlined and illustrated by three real examples. Key Words: Multiple time seriesVector autoregressive moving average modelsCross-correlationsPartial autoregressionIntervention analysisTransfer function