Financial Time Series and High Frequency Econometrics 

THE COURSE IS DELIVERED IN ONLINE MODE

 

   3-9 June  2022

 

Coordinators:

Alessandra Amendola and Giuseppe Storti
University of Salerno
Department of Economics and Statistics
Via Giovanni Paolo II, 132
84084 Fisciano (SA)
e-mail: alamendola@unisa.it , storti@unisa.it

 

Lecturers

Alessandra Amendola, University of Salerno

Vincenzo Candila, Sapienza University of Rome

Massimiliano Caporin, University of Padua

Walter Distaso, Imperial College London and University of Messina

 

Program is conditional to the recruitment of a minimum of 15 participants  

 

Requirements

Intermediate knowledge of statistical inference and econometrics.

 

Course outline:

Models for daily returns (based on EOD information):

- Modelling and forecasting the conditional mean of returns (level): ARMA and ARIMA models;

- Modelling and forecasting conditional variance of returns (volatility): GARCH models and their variants;

- Modelling and forecasting conditional covariances and correlations: Multivariate GARCH models.

High frequency econometrics:

- Features of intra-daily data;

- Volatility estimation with Jumps and microstructure noise;

- Volatility modeling and forecasting using high frequency data;

- GARCH type models using realized information (Realized GARCH, HEAVY);

- Dynamic models for realized measures (HAR, MEM);

- Localized (high frequency) regressions;

- Realized covariances and correlations: estimation challenges and dynamic models.

Portfolio construction and optimization:

- Predicting time-varying expected returns; the problem of persistent regressors;

- Estimating and predicting covariance matrices;

- Factor models: linear observable factors specification and estimation;

- Estimating risk premia in cross-section, Fama-McBeth regressions;

- Portfolio optimization.

Risk management:

- Backtesting and Evaluation of volatility forecast;

- Risk measures: VaR, Expected Shortfall; parametric and semiparametric approaches; conditional quantiles and expectiles.

 

Reference textbooks and suggested readings:

Aït-Sahalia Y., Jacod J. (2014) High-frequency Financial Econometrics, Princeton University Press.

Bauwens L., Hafner C., Laurent S. (2012) Handbook of Volatility Models and Their Applications, Wiley.

Christoffersen P. (2016) Elements of Financial Risk Management, Academic Press.

Francq C., Zakoian J.M. (2010) GARCH Models: Structure, Statistical Inference and Financial Applications, Wiley.

Hautsch N. (2012) Econometrics of Financial High-Frequency Data, Springer.

Linton O. (2019) Financial Econometrics: Models and Methods, Cambridge University Press.

Turan G. Bali, Robert F. Engle, Scott Murray (2016) Empirical Asset Pricing: The Cross Section of Stock Returns, Wiley.

 

Handouts, further readings and material will be provided before the beginning of the course and during the lectures.

 

Tutorials

Theoretical lectures are associated with working sessions; during them you will receive the suggestions needed to use an econometric software and to run your own empirical analysis. Data-sets and programming files to make applied  econometrics will be provided during the lectures.

For the practical tutorials and applications participants will use the softwares R and Matlab, which will have to be installed on their own laptops.

 

Timetable

Lectures and tutorials will be in English, with the following schedule:

Monday to Friday: lectures 9:00-13:00, 15:00-17:00; Tutorials and individual hands-on sessions: 17:00-19:00.

Saturday: lectures 9:00-13:00.

 

Fees and Enrollment

  • Students, new graduated students, PhD students and temporary university staff: 340 euro 
  • University staff: 450 euro
  • Others: 1500 euro

In case of enrollment in two or more courses,  for a maximum of three, Student and Staff participants are entitled to a discount of 100 euros on each course. Other participants are entitled to a discount of 300 euros on each course.

 

Renounce and refund:

To submit a renounce request, please send an email to admin@side-iea.it.

You can give up immediately after the notification of acceptance or later.
After the payment, you can submit your renounce up to one week (7 days) from the beginning of the course (within the terms for refund) and ask for a refund with motivated reasons (health reasons to be documented, for study purposes or personal reasons). We will refund your fee with a deduction for administrative and organization costs:  
150 Euro for the course in presence, 100 Euro for online course.
Over the terms for refund (less of 7 days from the beginning of the course) you need to motivate your request (as indicated above), which will be submitted to SIdE President.

 

Important dates:

Application Deadline: May 10th, 2022

Notification of acceptance will be posted by the 18th May, 2022

Deadline for Fee Payment is June 1th, 2022

 

Contacts