Associate Professor of Economics
Middle East Technical University (METU)
Associate Director, Institute of Applied Mathematics
I am an Associate Professor of Economics at Middle East Technical University (METU), where I also serve as Associate Director of the Institute of Applied Mathematics (IAM).
After completing my Ph.D. at Queen Mary, University of London, I held a faculty position in the UK before returning to Türkiye.
My research sits at the intersection of financial econometrics and machine learning. I am particularly interested in how deep learning and natural language processing can illuminate dynamics in financial markets.
I teach and conduct research using Python.
Primary: Finance, Econometrics
Secondary: Financial Econometrics, Machine Learning, Deep Learning, Natural Language Processing
The project develops an interpretable, state-dependent Hawkes framework linking collective information demand to financial uncertainty and cross-market contagion. Search and pageview-based measures of public attention are modelled as self- and mutually exciting event streams, validated against implied and realised volatility and financial-stress transitions, and extended to cross-excitation across volatility indices. Frozen-state evaluation of the estimated intensities yields local branching matrices, spectral radii, and propagation multipliers, so that the machine-learning components remain economically interpretable.
For a complete list of publications and citation information, please see my Google Scholar profile.
Alev Atak
Middle East Technical University (METU)
Department of Economics
Üniversiteler Mahallesi, Dumlupınar Bulvarı No:1
06800 Çankaya/Ankara
Turkey
E-mail: alevatak@metu.edu.tr
Citations (Google Scholar): 122
h-index: 6
i10-index: 4
Total Publications: 14