CV

Curriculum Vitae

Last update: 2024/01/09

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Research Interest

Applied econometrics in finance with special attention on using and improving machine learning methods. Currently, I am working on corporate events to better understand the implications of events.

Current Positions

  • Assistant Professor – Corvinus University at Budapest, Institute of Economics
  • Affiliated Researcher – Georgia Institute of Technology (GT), FSIL at Scheller College of Business
  • Visiting Professor – Central European University (CEU), Department of Business and Economics

Previous Positions and Research Experiences

  • Postdoctoral research fellow – Georgia Institute of Technology (GT), FSIL at Scheller College of Business (2022-2023)
  • Junior Researcher – Institute of Economics, Centre for Economic and Regional Studies (CERS)
  • Research Assistant - at CEU, collaborating with University of College London.
    • Conducted research on econometric theory and applications of models where the dependent or explanatory variables are discretized due to surveys, but in fact, they are continuous. During the research, I have collaborated with MaaSLab at the University of College London, a research group focusing on public transportation and faces challenges due to discretization when modeling.

Published and Working Papers

  • Long-term market performance of merger and acquisitions (WP) - Joint with Sudheer Chava
  • When and How Much Do Fixed Effects Matter? - Joint with Felix Chan and László Mátyás
    • In: Matyas, L. (eds),The Econometrics of Multi-dimensional Panels 2nd Edition, Springer (2024), Chapter 2, pp. 39-60.
  • Heterogeneous Treatment Effects in Regression Discontinuity Designs
    • The paper proposes a causal supervised machine learning algorithm to uncover treatment effect heterogeneity in classical regression discontinuity designs. Extending Athey and Imbens (2016) with leaf-by-leaf regression, I develop a criterion for building an honest “regression discontinuity tree”, where each leaf of the tree contains the RD estimate of treatment conditional on the values of some pre-treatment covariates.
  • The Use of Machine Learning in Treatment Effect Estimation (Published) 2022 – jointly with Robert Lieli (CEU) and Yu-Chin Hsu (National Central University and National Chengchi University)
    • In: Chan, F., Matyas, L. (eds), Econometrics with Machine Learning. Advanced Studies in Theoretical and Applied Econometrics, vol 53. Springer, Cham (2022), pp. 79-109.
  • Modelling with Discretized Continuous Dependent Variable - Joint with Felix Chan and László Mátyás
    • Extends the split sampling methodology of Reguly et. al. (2020) to linear models, when the outcome variable is observed through a discretization process.
  • Modelling with Discretized Ordered Choice Covariates - 2020 - Joint with Felix Chan and László Mátyás
    • Introduces a new data gathering method the so-called ‘split sampling’, which allows point identification and consistent estimation of parameters via least squares, when the covariates are discretized interval data.

Conferences and presentations

  • European Economic Association (EEA) and Econometric Society European Meeting (ESEM) 2021 Summer Conference
    • EEA: Heterogeneous Treatment Effects in Regression Discontinuity Designs
    • ESEM: Modelling with Discretized Continuous Dependent Variable
  • International Association for Applied Econometrics
    • 2021: Heterogeneous Treatment Effects in Regression Discontinuity Designs
    • 2019: Modelling with Discretized Ordered Choice Covariates - Cyprus
  • Brownbag Seminar Series at the Department of Economics and Business
    • 2021: Heterogeneous treatment effects in regression discontinuity designs
    • 2020: Ordered Choice Modelling with Discretized Continuous Dependent Variable
    • 2019: Modelling with Discretized Ordered Choice Covariates
  • Hungarian Society of Economist Yearly Conference
    • 2014: Forecasting the Hungarian Nelson-Siegel Yield Curve with Mixed Factor Model - Budapest

Administrative Experience

  • Organizer of the Econometrics Reading Group at the Department of Economics and Business at CEU.
    • Organized reading group events for Ph.D. students and faculty members, covering various papers from the field of econometrics. We held meetings in two weeks frequency.

Teaching experience

  • Data Analysis - MS in Business Analytics at CEU
    • 2020/21 - Lecturer for Data Analysis 1 and 2
    • 2018/19 – Teaching Assistant for Data Analysis 3 and 4. (lecturer: Gábor Békés)
  • Coding 1: Data Management and Analysis with R - MS in Business Analytics at CEU
    • 2020/21 and 2021/22 - Lecturer
  • Data course - Executive Master of Business Art (EMBA) at CEU
    • 2020/21 - Joint lecturer with Anand Murugesan
  • Mathematics and Advanced Excel Pre-session MS in Finance at CEU
    • 2019/20, 2020/21 and 2021/22 - Lecturer
  • Mathematical Methods for Economists - MA in Economics
    • 2017/18 - Teaching Assistant

Education

  • 2016-2021: Central European University, Budapest and Vienna, Ph.D. in Economics
    • Advisors: Róbert Lieli and László Mátyás
    • Graduated with Summa Cum Laude
    • PhD Thesis: Three Essays on Econometrics
  • 2012-2015: MA in Economic Analysis at Budapest University of Technology and Economics (BME)
    • Graduated with Summa Cum Laude, ECTS weighted average: 4.65/5; ECTS: 162 of 120
  • 2012 Sept – 2013 Feb: ERASMUS scholarship in Germany
    • Otto-Friedrich Universität Bamberg, focusing on behavioral economics
  • 2009-2012: BA in Management and Business Administration at BME
    • Graduated with excellent degree, ECTS weighted average 4.02/5; ECTS: 256 of 210
  • 2003-2009 Franciscan High School of Szentendre, Hungary

Awards and Scholarships

  • Award for Advanced Doctoral Studies, 2019 CEU’s rector award for outstanding Ph.D. students
  • Pro Scientia Golden Medal, 2013 academic award for young scholars, given at the Hungarian Academy of Sciences.
  • National Scientific Students’ Association Conference Awards (OTDK)
    • 2015 1st Prize in economics section
    • 2013 3rd Prize in economics section
    • 2011 1st Prize in economics section
    • 2011 Award of the Hungarian Economic Review
    • 2011 Short listed for the best presentation
  • University Scientific Students’ Association Conference Awards
    • 2014 Academic award of Rector Magnificus
    • 2014 1st Prize in economics section
    • 2014 1st Prize in finance section, selected for National Scientific Students’ Association Conference
    • 2011 Memorial award of Heller Farkas by Heller Farkas Foundation
    • 2011 1st Prize, in economics section, selected for National Scientific Students’ Association Conference
    • 2010 Award of Pro Progressio Fundation for enhancing young scholars
    • 2010 1st Prize, in economics section, selected for National Scientific Students’ Association Conference
  • Other Awards
    • 2013 Economist’s Forum’s Young Scientist Award for the best article of the year
    • 2013 Felkai András Memorial Scholarship for support training of young talents
    • 2013 Outstanding students’ award at the Budapest University of Technology and Economics
    • 2012 & 2013 Special Extended Scholarship of Economy and Social Sciences Faculty of Budapest University of Technology and Economics
    • 2012 Hungarian Republic Fellowship (József Nádor)

Publications

Publication from my BA/MA studies

  • Constructing Hungarian Zero-Coupon Yield Curve Models - 2015
    • National Scientific Students’ Association Conference (in Hungarian)
  • Forecasting the Hungarian Nelson-Siegel Yield Curve with Mixed Factor Model - 2014
    • Conference Paper: Hungarian Society of Economist Yearly Conference (in Hungarian)
  • Happiness of Economic Man - 2014, joint with: K. Martin´as, Zs. Gilányi and V. Poór
    • In Francesco Sarracino (Eds): The Happiness Compass, Chapter 19 Nova Science Publishers
  • Reappraisal of Rational Choice Theory - 2013, joint with K. Martinás
    • Interdisciplinary Description of Complex Systems (INDECS), 11(1)
  • Behavioral models of pension systems, part II. - 2013
    • Economists’ Forum, 2013. April
  • Behavioral models of pension systems, part I. - 2012
    • Economists’ Forum, 2012. February

Working experience

  • Consultancy
    • Analysis on government security market for Hungarian State Treasury (2019)
  • Hungarian Government Debt Management Agency (2013 - 2016)
    • I was responsible for periodical reports of the government security market and developing new methodologies for analyzing and forecasting the Hungarian government yield curve. Furthermore, I have contributed to the development of the new portfolio model.

Summer schools

  • 2015 July: Cambridge Econometrics Summer School, Timberlake Ltd.
  • 2014 July: Oxford Econometrics Summer School at Aix-en-Provance, Timberlake Ltd.

Skills

  • Language
    • English: TOEFL ibt: 104; B2 certificates: general (2008) and economics specific (2011)
    • German: B2 certificate, general, 2014
  • IT skills:
    • Proficient: MatLab, R
    • Advanced: Python, Microsoft Office programs
    • Intermediate: Stata, Eviews, SPSS, Mathematica
  • Driving license:
    • A and B categories
  • Hobbies:
    • I have been sailing for fourteen years, and achieved 1st award in the National Competition of Jolle 25 class in 2007, 2009 and 2010.
    • Nowadays in my spare time I have turned to mountaineering and rock climbing. Among many peaks in the Tatras and the Austrian Alps, in 2018 I have climbed Mount Blanc via the Cosmiques route.

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