Finally, a discussion on model complexity and sample size and the rise of financial machine learning. Also, introduce machine learning information criterion for model selection and comparison.
Some worked examples of how to executed and critique forecasting models for financial time series. Also introducing some Bayesian forecasting techniques.
Introducing time series econometrics teaching frame as a reboot of traditional approach to include modern concepts.