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Empirical Methods in Sustainable Finance

10-12 November 2021

Registration closed

For information contact fbf@eui.eu

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Quantitative

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  • Description

    The course provides an overview of empirical methods that can be deployed to investigate issues in sustainable finance. In particular the methods that are discussed allow the empirical researcher to analyze the unique role of banks and the stability and sustainability of a banking system, the role of collateral to make lending safe and banks sustainable, the management of environmental risks at the bank level, and the way lending by banks to households and credit constrained firms can be made sustainable. When discussing methods to analyze the provision of sustainable credit for a sustainable society the focus is on: the monetary conditions and the bank risk taking channel; inequalities, bank credit and business growth; the financing of brown and green activities; and macro prudential regulation of banks and their real effects.

  • Key topics covered

    • Difference-in-Differences (treatment versus control, parallel trends, intensity of treatment, managing the control sample)
    • Event Study Methodology
    • Heteroskedastic Models
    • Ordinary Least Squares in “Various Guises”
    • Randomized Experiments
    • Instrumentation, also with Historical Data
    • Saturation with Fixed Effects
    • Use of Interactive Terms
  • Format and schedule

    Format:

    • Instructors and residential course participants will be located in a training room at the EUI campus in Florence.
    • The EUI campus is accessible only by participants with a valid digital COVID certificate (EU ‘green pass’)
    • Online course participants will connect via Zoom to the training room in Florence. They will be able to interact with the instructors and other participants via their webcam and microphones.

    Schedule:

    The detailed agenda of the full course will be published soon.

    • The course will consist of 11 hours of lectures discussing applications in sustainable finance of the aforementioned methodologies.
    • There will be 4 hours of Stata session whereby key commands linked to these methodologies will be introduced.
    Total course length: 15 hours.
  • Prerequisites

    Prior knowledge requirements:
    • MA in Finance/Economics and/or Environmental Science (a PhD would be an asset).
    • Knowledge of Econometrics at a Master level.
    • Familiarity with the Stata software.
    Technical equipment:
    • For both online and residential participation: laptop with the software Stata installed.
    • For online participation only: access to Zoom software, webcam and microphone.
  • Instructors

    Andrada Bilan is a Research Economist in the Monetary Policy Analysis Division of the Swiss National Bank. She holds a PhD in Finance from the Swiss Finance Institute and the University of Zurich. Andrada has been teaching courses in empirical banking at the University of Zurich since 2016.

    Steven Ongena is a professor of banking in the Department of Banking and Finance at the University of Zurich, a senior chair at the Swiss Finance Institute, a research professor at KU Leuven, and a research fellow in financial economics of CEPR. He is also a research professor at the Norwegian University of Science and Technology, a research professor at the Deutsche Bundesbank and a regular research visitor at the European Central Bank.

  • Teaching Associate

    Natalie Kessler
  • Fees

    Residential format:

    • 1750€ – Public Authorities (e.g. National Competent Authorities, Central Banks and European Institutions).
    • 1900€ – Private Sector.
    • 750€ – Academics (Full-time Professors, full-time PhD Students and full-time Research Associates).

    The course fee covers coffee and lunch breaks. Travel and hotel costs are not included.


    Online format:

    • 850€ – Public Authorities (e.g. National Competent Authorities, Central Banks and European Institutions).
    • 950€ – Private Sector.
    • 750€ – Academics (Full-time Professors, full-time PhD Students and full-time Research Associates).

    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 and assigned by the FBF secretariat on a case-by-case basis.

    Please note that the payment must be settled two weeks before the start of the course.

    CANCELLATION POLICY

    • In case a course is cancelled by the organisers, registered participants will receive the full refund.
    • In case a course is moved to another date, registered participants may request a voucher to attend another FBF course.
    • The registration fee is non-refundable, however it will be possible to transfer registration to another person or request a voucher for another FBF course up to 20 days before the start date of the course.
    • Registered participants who have not yet paid the registration fee can cancel their participation until one month before the start of the course.

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    For more details, please contact fbf@eui.eu