# UE 2 - Statistical modelling techniques

• Cours (CM) 40h
• Cours intégrés (CI) -
• Travaux dirigés (TD) -
• Travaux pratiques (TP) -
• Travail étudiant (TE) 80h

Langue de l'enseignement : Anglais

## Description du contenu de l'enseignement

This unit of teaching comprises of two parts:
1. Copula Modelling for Statistical Applications
Copula models are frequently applied in finance and become increasingly popular in economics to model important dependencies between key economic variables. This course provides a general introduction to copula models. The statistical modelling is illustrated with important examples from finance and economics.
• Copulas and Dependence
• Families of Copulas
• Measurement of Dependence
• Generating Copulas
• Copula Duration Models
• Estimation of Copula Models
• Examples from empirical finance, labour and health economics.
1. Quantitative Finance
• Analysis of asset returns: autocorrelation, stationarity, predictability and prediction.
• Volatility models: GARCH-type models, GARCH-M models, EGARCH model, GJR model, stochastic volatility model, long-range dependence.
• High-frequency data analysis :duration models, logistic and ordered probit models for price changes, and realized volatility
• -Nonlinearities in financial data: simple nonlinear models, Markov switching and threshold models
• -Multivariate series: cross correlation matrices, simple vector AR models, co-integration and threshold co-integration, pairs trading, factor models and multivariate volatility models

## Compétences à acquérir

On completing the course a student will be able to:
• Choose statistical model specifications which are suitable, both to the data and to the economic models;
• Understand estimation and inference methods which are appropriate for the different statistical modelling techniques;
• Estimate the model and be able to interpret the estimation results, using appropriate software.
• Gather practical work experience with a statistical package as preparation of an empirical master dissertation.
• Conduct independent work with copula models and present the results to an audience.

## Bibliographie, lectures recommandées

Part 1:
• Trivedi, P.K. and D.M. Zimmer (2005): Copula Modeling: An Introduction for Practitioners, in: Foundations and Trends in Econometrics, Vol.1,No.1, 1-111
• Nelsen, B. (2006): An Introduction to Copulas, Springer, 2nd Edition, ISBN-10: 0-387-28659-4
• Lo, S.M.S. and Wilke, R.A. (2014): A regression model for the copula graphic estimator, Journal of Econometric Methods, 3(1), 21-46.
Part 2:
• Bauwens, Luc and Nikolaus Hautsch (2009), Econometric Modelling of Stock Market Intraday Activity, Springer.
• Tsay, Ruey S. (2010), Analysis of Financial Time Series, 3rd edition, Wiley.

## Contact

Faculté des sciences économiques et de gestion (FSEG)

61, avenue de la Forêt Noire
67085 STRASBOURG CEDEX
0368852178

Formulaire de contact

Bertrand Koebel