Measuring and Forecasting Volatility and Risk

Course overview

The course on Measuring and Forecasting Volatility and Risk is organized by the Barcelona Graduate School of Economics and the Florence School of Banking & Finance.

This course provides a presentation of state-of-the-art methodologies for the analysis of volatility, correlations, networks and transmission of financial and macro time series, with applications to systemic risk measurement.

It will begin by introducing GARCH models for the analysis of time-varying volatility and DCC models for time-varying correlations. These time series techniques are then used to construct popular measures of systemic risk, recently proposed in the literature: CoVaR and SRISK. On the last day, instructors will focus on the advanced details of networks, connectedness and transmission. During the sessions, instructors will also introduce the algorithms to deal with large data sets.

The sessions will be divided into theory and practice. The theory classes will introduce the methodology, while the practical sessions will illustrate the techniques introduced in the course on real datasets.

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Key benefits

  • Estimation and forecasting
  • Models of time varying correlations: estimation and forecasting
  • VaR and systemic risk: measures and forecasting techniques

Course organized jointly by:

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