Portale di Ateneo - En.Unibs.it

DETAILED DESCRIPTION OF THE TOPICS TO BE COVERED IN THE COURSE

1 Statistical recalls
- Univariate and multivariate random variables.

2 Finacial returns, volatility and their carachteristics

3 Stochastic processes for mean structure
- AR, MA and ARIMA processes
Conditional and not conditional moments
Parameters estimation and analysis of residuals
Forecasting

4 Stochastic processes for volatily structure
- ARCH, GARCH and EGARCH processes
Conditional and not conditional moments
Parameters estimation and analysis of residuals
Volatility forecasting
- Stochastic Volatility (SV) process
Moments
Parameters estimation

5 Generalized Linear Models (GLM) and Logistic Regression (LR)
Introduction
Loglikelihood function and parameters estimation
Analysis of residuals
Hosmer and Lemenshow Test for LR.

6 Classification models
Naive Bayes
Tree-Based methods for classification
Support Vector Machines