Education

The VERA Centre is also a place of advanced training in economics, econometrics and finance as well as for the implementation of experimental research.

Thanks to the synergies with the Ph.D. Programmes, the Professional Masters and the Master's Degree Programmes of the Department of Economics, the education and research activities of the Centre will guarantee the development of professional expertise and leadership skills.

The VERA Center supports students of Master’s Degrees through internship grants for research assistance (VERA Academy); grants for Ph.D. Programme in Economics; Summer Schools involving students, academics and researchers.

Ph.D. Students

The project supports 4 years Ph.D. scholarships dedicated to specific research topics of the VERA research Center.

36th cycle (2020-2021 academic year)

Eshagh Jahangiri

Eshagh Jahangiri

Research interest: Economics and Risk Analystics for Public Policies.
Scholarship: funded by VERA Centre.

Madi Mangan

Madi Mangan

Research interest: Micro effects of macroprudential policies.
Scholarship: funded by NETSPAR (Network for Studies on Pensions, Ageing and Retirement), in the framework of an agreement between Ca’ Foscari University of Venice and Vrije Amsterdam University.

35th cycle (2019-2020 academic year)

Elena Renzullo

Elena Renzullo

Research interest: Economics and Risk Analystics for Public Policies.
Scholarship: funded by VERA Centre.

Giovanni Pianon

Giovanni Pianon

Research interest: Research conducted under the "ESG Factors and Climate Change for Credit Analysis and Rating".
Scholarship: funded by the European Investment Bank through the EIBURS program.

34th cycle (2018-2019 academic year)

Ovielt Antonio Baltodano López

Research interest: Econometrics, Development Macroeconomics, public policy, heterodox economics, agent-based models.
Scholarship: funded by VERA Centre.

Roberto Rozzi

Research interest: Financial Technology and Regulation.
Scholarship: funded by VERA Centre.

Educational activities

 

Networks Econometrics

Ca' Foscari University of Venice, Venice (Italy) - 28 June - 3 July, 2021

The Italian Econometric Association (SIdE) in collaboration with the Venice centre in Economic and Risk Analytics for Public Policies (VERA) organizes the Summer School on Networks Econometrics.

The aim of the course is to provide the fundamentals of the econometrics network with particular reference to the Network mapping and visualisation, the Network Extraction Methods, Multi-layer Network Models and their applications to finance.

The tutorials will develop applications to stocks, interest rates and commodities markets and to contagion analysis. Modelling of financial and commercial trade networks will be considered as well.

A reduced fee of 30 Euro is foreseen for PhD and master students of the Department of Economics.
The deadline for application is May 14th, 2021 (deadline for fee payment: June 7th 2021).

Lecturers

Monica Billio

Monica Billio, Full Professor of Econometrics, Department of Economics, Ca' Foscari University of Venice

Roberto Casarin

Roberto Casarin (coordinator), Full Professor of Econometrics, Department of Economics, Ca' Foscari University of Venice

Matteo Iacopini

Matteo Iacopini, Research Fellow, Vrije University of Amsterdam

Sergio Petralia

Sergio Petralia, Assistant Professor, Utrecht University and ERC Researcher, London School of Economics

Luca Rossini

Luca Rossini, Lecturer in Statistics, Department of Economics, Management and Quantitative Methods, University of Milan (Statale)

 

Bayesian Methods in Economics and Finance

Ca' Foscari University of Venice, Venice (Italy) - August 30 - September 3, 2021

The Italian Econometric Association (SIdE) in collaboration with the Venice centre in Economic and Risk Analytics for Public Policies (VERA) organizes the Summer School on Bayesian Multivariate Models and Forecasting in Economics and Finance.

The course is an introduction on Bayesian Inference, starting from first principles and covering topics of interest for applied econometricians in economics and finance. The course is addressed to students without previous knowledge of Bayesian Econometrics.

The methods introduced in the lectures will be illustrated with hands-on applications in MATLAB based on reasoned statistical and economic examples.

A reduced fee of 30 Euro is foreseen for PhD and master students of the Department of Economics.
The deadline for application is May 14th, 2021 (deadline for fee payment: June 7th 2021).

Lecturers

Gaetano Carmeci (coordinator), Associate Professor of Econometrics, Department of Economics, Business, Mathematics and Statistics, University of Trieste

Roberto Casarin

Roberto Casarin, Full Professor of Econometrics, Department of Economics, Ca' Foscari University of Venice

Matteo Ciccarelli

Matteo Ciccarelli, Senior Adviser, Forecasting and Policy Modelling, European Central Bank

Federico Bassetti

Federico Bassetti, Full Professor of Probability and Statistics, Department of Mathematics, Politecnico Milano

Ca' Foscari University of Venice, Venice (Italy) - April 12 - May 17, 2021

That of the algorithmic trader is one of the most sought after professions in the halls of London finance. The successful trader possesses a mix of method, psychology and ability to manage capital.
The Quantitative Trading Lab provides the foundations of this fascinating profession, combining theoretical lessons with practical laboratory exercises with the help of Bloomberg and Multicharts.

The first 6 lessons will be online, while the last 3 will be on the Bloomberg Finance Lab. The participation to the first part is open to all interested students, while for the last lectures, due to the COVID restrictions, only 20 students can participate and places will be located on the first come, first served basis.

The course is offered among the activities of the VERA centre and does not assign credits.

Please register here.

Theoretical lessons:

  • Monday 12 April,  17.30 - 19.00;
  • Tuesday 13 April, 16.00 - 17.30;
  • Monday 19 April,  17.30 - 19.00;
  • Tuesday 20 April, 16.00 - 17.30;
  • Monday 26 April,  17.30 - 19.00;
  • Tuesday 27 April, 16.00 - 17.30.


Practical laboratory lessons:

  • Monday 3 May,   9.30 - 16.30;
  • Monday 10 May,  9.30 - 16.30;
  • Monday 17 May,  9.30 - 16.30.

PART 1 – Introduction to Modern Markets
A modern approach to investments and trading: computer-based strategies. Meaning, risks and opportunities
How to choose what to trade and why: fundamental analysis vs technical analysis
How to properly manage trades: risk management, profit management, money management
Instruments available: a short outline
The magics of modern finance: leverage and short selling

PART 2 – Financial Instruments
How stocks and other assets are traded: opening auctions, continuous phase, closing auction (a short outline)
The negotiation book
Order types: market, limit, conditional, multi-conditional, valid till date, fill or kill, iceberg

PART 3 – Quantitative Trading Strategies
What is quantitative trading and why is it important
The tools of quantitative trading: Microsoft Excel, Metastock, Multicharts, Bloomberg
The phases of quantitative trading
Pros and cons of quantitative trading
Coding of a strategy: some introductory notes
Backtesting of a strategy
Optimization of a trading strategy
Evaluation of a trading strategy
A quick look to derivatives: main concepts, advantages and risks, problems with coding of strategies in their field (mutatis mutandis, the same applies also to Forex, CFDs, and other leveraged products)

The primary objective of this course is to provide students with an idea of the evolution experienced by the world of investments in the last twenty years.
Quantitative trading is now a widespread reality in institutional circles, both in the field of the management of capital carried out by mutual investment funds, and in the field of the management of capital owned by banks, social security institutions, foundations and insurance companies.
Learning the fundamentals of this complex discipline is the first step of a path that goes through the acquisition of skills in the financial, mathematical, statistical, psychological and behavioral fields.
It is of paramount importance in this process to immediately understand how the playful aspect of trading must be immediately eliminated, in order to be able to move to a higher, call it professional, level.

At the end of the course, students will have basic skills regarding the functioning of modern financial markets. They will be able to formulate, codify, test and optimize a trading strategy, as well as critically evaluate its advantages and risks.

About a third of the course will be issued with physical lectures in the Bloomberg Lab, and will involve computer programming and computer-based analysis (using Multicharts).
Compatibly with the objectives and timing of the course, it will not be possible to achieve particularly sophisticated results, but it will be clearly shown what today can be achieved thanks to computers and applications designed specifically for trading.

Lecturer

Domenico Dall'Olio, Adjunct Professor, Department of Economics, Ca' Foscari University of Venice

The Department of Economics and CentroMarca Cooperative Bank signed an agreement of cooperation for enhancing new opportunities of education and research in the field of green and sustainable finance.
The cooperation is focused on the following topics: the integration of environmental, social and governance (ESG) criteria in credit analysis and ratings, the analysis of risks and opportunities of climate change; the awareness promotion concerning  benefits and opportunities associated with sustainable finance.
The Department of Economics is already involved in several European and Internal projects on these specific themes with a consolidated research group composed by Loriana Pelizzon, Monica Billio, Stefano Battiston, Michele Costola and several young researchers recruited on specific projects funded at EU, national and local level.

A specific University course on ESG and sustainable finance began on March 2021. The course, organized with the support of the CentroMarca Cooperative Bank, is part of the educational CV provided by Master's Degree program in Economics and Finance.

Instructor

Michele Costola

Michele Costola, Researcher, Department of Economics, Ca' Foscari University of Venice

 

The Department of Economics hosts two 2020 ESTP courses. The two training courses are organized by GOPA, leading provider of statistical services, and financed by EUROSTAT in the frame of the ESTP programme.
The purpose of the European Statistical Programme (ESTP), coordinated by EUROSTAT, is to provide European statisticians with continuous training in new methods, techniques and best practices and integrate the application of European concepts and definitions.

 

ESTP Course on Time series Econometrics

Palazzo Moro, 11-13 February 2020

The objective of the course was to provide the participants with basic knowledge of modern time series econometrics, with a focus on univariate and multivariate approaches. The course also covered practical exercises in R.

Trainers

Stefano Federico Tonnellato

Stefano Federico Tonellato, Associate Professor of Statistics, Department of Economics, Ca' Foscari University of Venice

Fabio Bacchini

Fabio Bacchini, Head of Econometric Studies and Economic Forecasting Division, Italian National Institute of Statistics (ISTAT)

Department of Economics, in partnership with ARPM, offers Advanced Risk and Portfolio Management as one of its courses as elective, assigning credits upon successful completion of the final exam.
Upon successful completion of the course, you will be able to:

  • correctly map all the techniques adopted in quantitative finance onto a unified theoretical framework, appreciating the interconnections, and gaining a fresh perspective on the known techniques;
  • avoid the most common pitfalls in risk management and portfolio management applications;
  • interact with your classmates (and with the ARPM community) using a common language and notation;
  • navigate the ARPM Lab to find detailed reference material to deepen your knowledge of the topics covered by the course, and more.

Advanced Risk and Portfolio Management at Ca' Foscari University of Venice

Title: Advanced Risk and Portfolio Management
Term: Spring 2021
Credits #: 10
Length:12 weeks

Instructor

Michele Costola

Michele Costola, Researcher, Department of Economics, Ca' Foscari University of Venice

Incentives for students enrolling in Summer & Winter Schools

CALL FOR APPLICATIONS

The VERA Centre offers 50 incentives to students wishing to enroll in Summer or Winter Schools which will be held in-person or on-line.

The incentives will be assigned to students of the Department of Economics Master’s Degree Courses, wishing to apply for Summer or Winter Schools, held by Italian or foreign organisations, either public or private. The enrollment to the School must take place by 31st December 2021.

The amount of each incentive is up to 120 euros.

The Call will be open from May 2021 to October 2021, and applicants will be able to apply anytime. Any submitted applications will be evaluated in the nearest cut-off deadline:

  • 1st deadline: 31/05/2021
  • 2nd deadline: 31/08/2021
  • 3rd deadline: 31/10/2021

If at the intermediate deadlines, the number of proposals positively evaluated covers the entire funding available, increased by 20% for a reserve list, the call will be closed.