At the end of the course students should:
- Know the basic characteristics of financial data, understand the application of financial time series models, and gain the experience in analysing financial time series.
- Have a reasonable ability to derive theoretical results relating to some important financial time series models.
- Have a reasonable ability to fit time series models to financial time series data, and carry out related predictions using appropriate computer software.
- Have a reasonable ability to use residual plots and other techniques to assess the goodness of fit of a time series model to a financial time series.
- Have a reasonable ability to choose between alternative time series models for sets of financial time series data.
Returns & their characteristics; Simple linear time series models & their applications; Univariate volatility modeling & its implications; High-frequency financial data and market micro-structure.