Aarhus, Denmark
Fraud Analytics: Leveraging Data and Tools for Anomaly Detection and Fraud Prevention
When:
23 July - 08 August 2025
Credits:
5 EC
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Economics
When:
20 October - 21 October 2022
School:
Institution:
TStat Training
City:
Country:
Language:
English
Credits:
0.0 EC
Fee:
355 EUR
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.
In common with TStat’s training philosophy, throughout the course the theoretical sessions are reinforced by case study examples, in which the course tutor discusses current research issues, highlighting potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, course leaders are able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed in the course.
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.
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.
Fee
355 EUR, Full-time students*: € 355.00 Ph.D. Students: € 455.00 Academic: € 505.00 Commercial: € 675.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year.
Aarhus, Denmark
When:
23 July - 08 August 2025
Credits:
5 EC
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Sulmona, Italy
When:
03 February - 10 February 2025
Credits:
0.0 EC
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Antwerp, Belgium
When:
03 February - 07 February 2025
Credits:
3 EC
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