COURSE OVERVIEW

 

The growth in financial instruments during the last decade has resulted in a significant development of econometric methods (financial econometrics) applied to financial data. The objective of our Modelling Volatility and Contagion in Finance course is to provide participants with a comprehensive overview of the principal methodologies, both theoretical and applied, adopted for the analysis of risk in financial markets. To this end, the course focuses on the modelling and forecasting of financial time series of asset returns; the modelling of cross market correlations, volatility spillovers and contagion in financial asset markets. During the course, a number of alternative GARCH models and models of conditional correlations will be reviewed.

 

TARGET AUDIENCE

 

The course is of particular interest to: i) Master and Ph.D. Students and Researchers in public and private research centres, and ii) professionals employed in risk management in the following sectors: asset management, exchange rate and market risk analysis, front office and research in investment banking and insurance, needing to acquire the necessary econometric/statistical toolset to independently conduct an empirical analysis of financial risk.

 

COURSE REQUISITES

 

Participants should have a knowledge of the inferential statistics and introductory econometric methods illustrated in Brooks (2019).


PROGRAM

 

SESSION I: VOLATILITY MODELS – GARCH

 

Analysis of fi nancial time series features:

 

Stationarity
Autocorrelation
Conditional heteroscedasticity
Fat tails

 

Modelling and forecasting asset returns volatility with univariate ARCH and GARCH models:

 

ARCH, GARCH, GARCH-in-mean
Integrated GARCH
Risk Metrics
Modelling asymmetric shock impacts on volatility with asymmetric GARCH models:
SAARCH
EGARCH
GJR
TGARCH
APARCH
News Impact Curve

 

 

 

 

SESSIONS II: MULTIVARIATE VOLATILITY (MGARCH) MODELS AND CONTAGION

 

Multivariate GARCH models:

 

Diagonal VECH (DVECH)
Constant Conditional Correlation (CCC)
Dynamic Conditional Correlation (DCC) models

 

Assessing contagion in financial markets:

 

Measuring cross-market correlation coefficients
Higher moments contagion
Estimating Markov switching regressions

 

Empirical applications:

 

Forecasting volatility and correlations in financial markets
Contagion between markets

 

SUGGESTED READING (PRE – AND POST-COURSE)

 

Introductory Econometrics for Finance. Brooks, C., (2019). Cambridge University Press, 4th edition.

 

Financial Econometrics Using Stata. Boffelli, S., and G. Urga (2016). Stata Press Publication.