Ágoston Reguly

Quick bio

I am an Assistant Professor at the Institute of Economics, Corvinus University of Budapest (Corvinus), an affiliated researcher at Financial Services Innovation Lab (FSIL) part of Scheller College of Business at Georgia Institute of Technology and a visiting faculty at Central European University (CEU).

My research interests are in empirical finance and econometrics. My ongoing research covers topics on

  • the long-run market performance of mergers and acquisitions,
  • policy evaluation with machine learning techniques, and
  • traditional econometrics.

See more on my research here.

News

Teaching

  • Econometrics I for Applied Economists (BA) at Corvinus.

  • Prediction with Machine Learning methods – Data Analysis 3 for Business Analitics (MSc) at CEU.

  • Learn coding & data analysis with R

    • This course material guides you from basic statistics towards machine learning methods.
    • See my course material and problem description with tasks+solutions at the following github repo: Coding for Data Analysis in R.
    • This supplements the book Data Analysis for Business, Economics, and Policy by Gábor Békés (CEU) and Gábor Kézdi (U. Michigan) Published on 6 May 2021 by Cambridge University Press, and developed for Data Analytics courses at CEU. Check out gabors-data-analysis.com for more detial.
    • Thanks to Péter Duronelly and Ádám Víg you can access the same material in python as well here.

More information on the courses is available here.

Contact

email: agoston.reguly-at-uni-corvinus.hu or areguly6-at-gatech.edu