VAR models are useful for various applications, including economic forecasting, financial market analysis, and macroeconomic modeling. They are estimated using techniques like maximum likelihood estimation (MLE) and can be extended to VARIMA (Vector Autoregressive Integrated Moving Average) models for more flexibility in modeling complex time series data. https://altcoinoracle.com/value-at-risk-var-model-in-python-implementation-examples/