A new model was developed to study how different things are related to each other over time. The model is like a more advanced version of other models that look at how things change together. By breaking down the different parts of the model, researchers were able to estimate the parameters more easily. They tested the model on stock market data and found that it worked better than other models at predicting how two stock indexes move together.