Data Science in Economics and Finance for Decision Makers with ECB’s Per Nymand-Andersen. 

In this latest episode of the FNA Talks podcast series, the ECB’s Per Nymand-Andersen joins FNA’s Suptech Lead, Adam Csabay to discuss one of the most awaited Fintech publications of 2021: Data Science in Economics and Finance for Decision Makers. 

Per – who edited and co-authored the book – and Adam review the key themes of the book and highlight its practical contributions, as well as discuss the role that data science will play in the post-Covid world. 

Per’s book, published in March this year, provides an overview of how digital transformation and data science can support decision making and offers a variety of perspectives on managing digital data. 

FNAers Kimmo Soramäki, Ivana Ruffini, Mikhail Oet, Tuomas Takko and Adam Csabay contributed to the book with a chapter entitled Prudential Stress Testing in Financial Networks – that provides a taxonomy of organisation problems facing organisations operating in financial markets and offers a comprehensive approach to information system design that address stress testing in networks. Read More

You can now also catch up with the series via Spotify and Apple too.

 

Index: 

00:00 – Introduction

01:08 – Why does data science matter for decision-makers in 2021?

05:01 – How can data science help us tackle the impacts and implications of disruptions like the Covid-19 crisis?

08:31 – In what ways is data science transforming the work of central banks?

11:57 – To what extent is a cross-sectoral collaboration (between e.g. technology companies and central banks) needed to explore the opportunities provided by data science?

13:43 – What are the key questions that your book aims to answer?

More News

How to track bank complexity with network analytics?

Author: Jakub Schrimpel, Data Analyst Intern at FNA and G20 Competition runner-up. This is the first article in a series on bank complexity and systemic risk. The author has used FNA’s Supervisory Technology (Suptech) to construct multiple dashboards with the help of LEI data that can aid regulators when evaluating the geographical complexity of a […]

FNA Talks: Data Science in Economics and Finance for Decision Makers

Data Science in Economics and Finance for Decision Makers with ECB’s Per Nymand-Andersen.  In this latest episode of the FNA Talks podcast series, the ECB’s Per Nymand-Andersen joins FNA’s Suptech Lead, Adam Csabay to discuss one of the most awaited Fintech publications of 2021: Data Science in Economics and Finance for Decision Makers.  Per – […]

FNA contributes to Risk Book’s: Data Science in Economics and Finance for Decision Makers, Edited by Per Nymand-Andersen. 

FNA’ers Kimmo Soramäki, Ivana Ruffini, Mikhail Oet, Tuomas Takko and Adam Csabay contributed to the recent Risk Book: Data Science in Economics and Finance for Decision Makers, edited by the European Central Bank’s Per Nymand-Andersen.  The chapter FNA authored, Prudential Stress Testing in Financial Networks, provides a taxonomy of organizational problems facing firms operating in […]
Copyright FNA © 2021 | Privacy Policy