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Doctoral College

Exploring Advancements in Statistical Machine Learning for Economics & Finance

Join us for an insightful workshop on 28th February, looking into recent methodological enhancements and their applications in economics and finance. 


Hosted by the Computational and Quantitative Methods (CQM) Research Cluster at the School of Business and Management, Queen Mary University of London, the event is organized by Michel F. C. Haddad and Giorgos Galanis.

Please find the Zoom link here.

Date and Location: Wednesday, 28th February 2024, from 14:30 to 18:30, David Sizer Lecture Theatre at the Francis Bancroft Building, Queen Mary University, Mile End campus

The workshop will conclude with a drinks reception.

Part 1 @ 14:30

  • Mona Azadkia (Assistant Professor, Department of Statistics, LSE): "A simple measure of conditional dependence"
  • Johannes Ruf (Professor, Department of Mathematics, LSE): "Hedging with linear regressions and neural networks"
  • Pedro Salas-Rojo (Research Officer, International Inequalities Institute, LSE): "Inherited inequality: A general framework and an application to South Africa"

    Part 2 @ 16:45

  • Valentin Danchev (Assistant Professor in Business Analytics, BAAE - SBM, QMUL): "Building a responsible data science and machine learning workflow"
  • Julius Vainora (Assistant Professor, Faculty of Economics, University of Cambridge): "Latent position-based modeling of parameter heterogeneity"
  • Álvaro Cartea (Professor of Mathematical Finance and Director of the Oxford-Man Institute of Quant Finance, University of Oxford): "Spoofing and manipulating order books with learning algorithms"

Don't miss this opportunity to gain insights from leading experts in the field. We look forward to your participation!

More details can be found on the 2nd CQM Workshop [PDF 224KB].



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