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Summer School - Network Analysis in Finance and Economics, 2022, European University Institute, Italy

Publish Date: Mar 13, 2022

Deadline: Mar 24, 2022

Event Dates: from Mar 28, 2022 12:00 to Apr 13, 2022 12:00

Programme Description
Over the last years, network analysis has become an active topic of research, with numerous applications in macroeconomics and finance. In a nutshell, network analysis is concerned with representing the interconnections of a large panel as a graph: the vertices of the graph represent the variables in the panel, and the presence of an edge between two vertices denotes the presence of some appropriate measure of dependence between the two variables. Dependence can derive from direct exposures or from indirect or common exposures. From an economic perspective, the interest on networks has been boosted by the research of, inter alia, Acemoglu et al. (2012), which shows that individual entities can have a non-negligible effect on the aggregate behaviour of the economy when the system has a high degree of interconnectedness. Especially since the 2008 global financial crisis, the interest in analysing the role of network structure in transmitting – or dissipating – stress has grown significantly.
In this course, participants will be introduced to the theoretical framework and literature behind network analysis techniques for applications in finance and economics. Practical application of the methodologies will be presented in the form of examples, case studies and exercises. These sessions will be supported by code written in Python, with some parts available also in R.

Target audience

  • Early- or mid-career professionals
  • Investigators
  • Officials from EU institutions, member states' governments and international organisations
  • Practitioners and consultants from the private sector

The course is structured in two parts:
In the first part, from the 28 March to 5 April, you will follow a series of video lectures in the following modules:

  • Networks Basic Concepts
  • Direct exposure networks
  • Direct contagion: the classics
  • Capturing network structure
  • Indirect exposure networks
  • Crowded trading
  • What are the policy implications
  • Network Models for Large Panels

During the second part, from 6 April to 13 April, you will apply the theory into practice by participating in a series of live lectures and exercises, as well as individual assignments.

 

Please submit a certificate attesting your status of Professor, PhD Student or Research Associate to fbf@eui.eu before registering. FBF secretariat will provide you with a code to register. *Seats for academics are limited.
Please note that the payment must be settled one week before the start of the course.
A certificate of attendance will be provided to all participants after the course.

CANCELLATION POLICY:
In case you can no longer attend the course, you are required to inform the organisers by sending an email to fbf@eui.eu in order to free a seat for participants in the waiting list.
In case of frequent cancellations, FBF reserves the right not to accept further registrations from the same person.

For further information, please click the "LINK TO ORIGINAL" button below.

Further Official Information

Link to Original

Similar Opportunities


Disciplines

Economics

Finance

Quantitative Economics

Technology

Study Levels

PhD

Research

Opportunity Types

Online

Eligible Countries

International

Host Countries

Italy