13178 - Econometrics for Financial Markets

Course Unit Page

  • Teacher Giovanni Angelini

  • Learning modules Giovanni Angelini (Modulo 1)
    Giovanni Angelini (Modulo 2)

  • Credits 10

  • SSD SECS-P/05

  • Teaching Mode Traditional lectures (Modulo 1)
    Traditional lectures (Modulo 2)

  • Language Italian

  • Campus of Rimini

  • Degree Programme First cycle degree programme (L) in Finance, Insurance and Business (cod. 8872)

  • Course Timetable from Sep 20, 2021 to Nov 23, 2021

    Course Timetable from Nov 26, 2021 to Dec 10, 2021

SDGs

This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.

Quality education Decent work and economic growth Industry, innovation and infrastructure Reduced inequalities

Academic Year 2021/2022

Learning outcomes

At the end of this course, the student will know the key elements behind the quantitative analysis of financial markets. The student will be able to specify, estimate and interpret econometric models intended to explain the dynamics of prices, returns and volatility of financial assets. The student will also be able to carry out empirical analyses with econometric packages.

Course contents

1) Introduction:

- Statistical analysis of economic relationships.

- How to build an econometric model.

2) Linear regression model:

  - OLS

- Estimation issues: classic and generalized model.

- Diagnostic analysis.

  - Heteroskedasticity and autocorrelation.

3) Maximum likelihood estimator.

4) ARMA models.

5) Models for conditional volatility.

6) Endogeneity and instrumental variables.

Readings/Bibliography

Teachers will also provide their own teaching materials made available on IOL.

Reference books:

Marno Verbek, A Guide to Modern Econometrics

Ruey S Tsay, Analysis of Financial Time Series (only for point 5 of the program: Models for conditional volatility).



Teaching methods

Classes and labs using Matlab

Assessment methods

The exam aims to verify thjat the student has achieved the following basic targets:

• knowledge of basic econometrics, in particular, the special features which characterize financial markets;

• the ability to apply the main theoretical concepts to modeling asset returns and their volatility.

The exam is written and a grade of the form xx/30 is given.

Students are supposed to do theoretical exercises but also discuss practical cases based on estimation outputs which refer to real markets. 

 

 

Teaching tools

Econometric software: Matlab

Links to further information

https://sites.google.com/view/giovanni-angelini/home

Office hours

See the website of Giovanni Angelini