Advanced analytics: new methods and applications for macroeconomic policy

21 and 22 July 2022, Bank of England, online event

Advanced analytics techniques, such as the analysis of large and unstructured novel data sources, or the application of techniques derived from machine learning and artificial intelligence, offer new insights into problems in economics and finance. These approaches have now found their way into broad-based research programmes in academia and policy institutions. This conference is the latest in a series of events organised jointly by the Bank of England, the European Central Bank and the Data Analytics for Finance and Macro Research Centre (DAFM) at King’s College London.

The conference aims to bring leading researchers in academia and policy institutions together to present and discuss the latest advances in the interdisciplinary field of advanced analytics. For example, how can these techniques best address pressing policy questions, and how do the resulting answers compare with those obtained using conventional approaches? Could these novel approaches become the norm – and if so, how?

This year’s event focuses on the use of high-dimensional data. Such data may be derived from text as data, images, many-time-series environments, or large granular entity data. There are particular challenges relating to variable and model selection in such settings that we would like to explore in more detail. However, the scope of this conference extends far beyond that narrow focal point, and we welcome submissions on all theoretical and empirical issues relevant to macroeconomic policy, such as the transmission of monetary and fiscal policy, heterogeneous agents models, prudential policy and financial innovation.

Keynote speaker:

Frauke Kreuter (LMU Munich and University of Maryland)

Submissions for presentation and discussion at this conference should be sent to dafm@kcl.ac.uk. The deadline is 11 April 2022. Submissions should have a broad advanced analytics angle in terms of data and/or technique. Full papers are preferred, with extended abstracts being considered only in exceptional cases. When making a submission, please also indicate whether you would be willing to discuss a paper within your field of expertise. Authors of accepted papers will be contacted by mid-May.

The conference is currently planned as an in-person event, but hybrid participation can be accommodated. For any enquiries about submissions, please contact dafm@kcl.ac.uk.

For questions regarding the logistics of the event, please contact ccbsinfo@bankofengland.co.uk and andreas.joseph@bankofengland.co.uk.

• Andrew Blake, Bank of England
• Vania Esady, Bank of England
• Ana Galvão, Warwick University
• Sinem Hacioğlu-Hoke, Bank of England
• Lukas Henkel, ECB
• Andreas Joseph, Bank of England
• George Kapetanios, DAFM
• Christopher Kurz, Federal Reserve Board
• Michele Lenza, ECB
• Michael McMahon, Oxford University
• Chiara Osbat, ECB
• Fotis Papailias, DAFM
• Chris Redl, IMF
• Diego Rodríguez-Palenzuela, ECB