Online Courses

Presented By: Dr. Malvina Marchese (Cass Business School, City, University of London)

At times of great uncertainty for financial markets, this course provides participants with an understanding of the time series methods involved in modelling and forecasting financial markets volatilities. Participants will learn how to build, estimate and assess alternative models of volatility of financial time series. Each concepts will be explained from an econometric perspective and by means of many examples and applications in EViews

Presented By: Dr. Malvina Marchese (CASS Business School, London)

Course Timetable: 10am - 12pm & 2pm - 4pm

Our web-based 'Introduction to Panel Data Analysis with Stata' course provides an overview of the most-used panel data techniques and is ideal for the beginner/intermediate-level user who wants to learn how to implement panel data estimation with Stata commands.

Presented By: Dr. Malvina Marchese (Cass Business School, City, University of London)

Our web-based Time Series Analysis and Forecasting with EViews course provides a complete introduction to time series modelling and forecasting with EViews. It provides a good and practical understanding of a wide range of time series models used in various fields, including macroeconomics and financial applications with a strong background in forecasting.

This course is an essential step for any more advanced courses in forecasting such as the Midas Touch or Regime Switching models in EViews.

Course Timetable: 10am - 12pm & 2pm - 4pm

This course will focus on three specific techniques: regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions).The teaching approach will be mainly based on the graphical language and intuition more so than on algebra. The training will make use of instructional as well as real-world examples, and will evenly balance theory and practical sessions.

The course is open to people coming from all scientific fields, but it is particularly targeted to researchers working in the medical, epidemiological and socio-economic sciences.