VectorAutoregressionModellen
Vector Autoregression, often abbreviated as VAR, is a statistical model used in time series analysis. It's an extension of the univariate autoregression model to multivariate time series. Instead of predicting a single time series based on its own past values, a VAR model predicts each time series in a system based on the past values of all time series in that system. This allows for the capture of interdependencies and dynamic relationships between multiple variables over time.
A VAR model is characterized by its order, denoted by 'p', which represents the number of past
VAR models are widely used in econometrics and finance to forecast multiple related economic indicators, analyze