PhD and Habilitation in Economics || Associate Professor || International Finance || Econometrics || Risk Management || Matlab || Eviews || Monetary Policy ||

at University of Szeged, Hungary

Qualifications

Employment

Research grants to foreign research institutions

Topic 1: Financial contingency lines against global systemic meltdowns

Topic 2: Unconventional monetary policy and capital markets

Topic 3: Green finance, ESG and nonfinancial reporting

Teaching experience

Languages

  • Hungarian

  • English: Cambridge Assessment English: Certificate in ESOL International (Council of Europe Level C1)

  • German (B)

Foreign teaching experience (teaching for an entire semester at a foreign university or institute):

Teaching in English at the University of Szeged:

International PhD program in Economic and Financial Policy

  • Econometrics (2017-) – Matlab and Eviews

International Economy and Business Master Program

  • International Finance (2014-)

  • International Financial Management (2015-)

  • Risk Management in Finance (2023-)

  • Green Finance and ESG reporting (2022-)

Business Administration and Management BSc Program

  • Introduction to Finance (2014-)

  • European Economic and Monetary Union (2014-)

  • Financial case studies (2015-)

Teaching in Hungarian at the University of Szeged:

Doktori képzés - Gazdaságpolitika Program

  • Ökonometria

Pénzügy mesterszak

Pénzügy és számvitel alapszak

Középiskolás szakkör

  • Gazdaságtörténet és makropénzügyek

Other, notable short-term research-or training-related mobilities abroad:

  • 2023 Slovak Academy of Sciences, Institute of Economic Research (Bratislava, SK): 48th Seminar in Empirical Economics - Gábor Dávid Kiss : The relevance of network effects on the Central-Eastern European (CEE) stock market indices (30. 11. 2023)

  • 2023 EFMD Global (Nice, FR): Online Teaching Academy training programme”, participant, (1 week)

  • 2023 Prague University of Economics and Business (Prague, CZ): Introduction to Causal Data Analysis and Modeling with Coincidence Analysis”, participant, (1 week)

  • 2019 Center of Excellence in Finance (Ljubljana, SLO): Intermediate Time-Series Analysis workshop – "Data Quality: Missing Data Analysis and Extreme and Outlier Data", participant and presenter, (1 week)

  • 2019 University of Tartu, Estonian Center of Industrial Mathematics – Estonian Study Group with Industry – ESGI 151 (Tartu, EST): Big data analysis in Matlab for bank customer segmentation (COST Action TD1409 Mathematics for industry network), (1 week)

  • Erasmus teaching mobilities: Tomas Bata University (Zlín, CZ), University of Maribor (Maribor, SLO), Silesian University in Opava (Karviná, CZ), Oulu University of Applied Sciences (Oulu, FI), Nicolaus Copernicus University (Torun, PL)

PhD program

PhD students, degrees

Previously supervised doctoral students with a PhD degree:

  • Bui Thanh Trung (2023): Monetary policy: indicators and identification

  • Klutse Senanu Kwasi (2022, 50%): Developing and testing new measures of exchange market pressure in Sub-Saharan Africa

  • Kwesi Ampah Isaac (2020): Capital flight and external borrowing in Sub-Saharan Africa: An investigation into relationships and implications

  • Kocsis Zalán (2020): Time-Variation in the Pricing of Country Fundamentals in Sovereign Credit Spreads

  • Czelleng Ádám (2019): The Macroeconomic Role of Market Liquidity – Microstructure Analysis from a Regulatory Point of View

  • Sávai Marianna (2019, 50%): "A visegrádi országok fiskális fenntarthatósága Az államadósságuk alakulása [The Fiscal Sustainability of the Visegrad Group Countries - The Aspect of Government Debt]

Doctoral thesis is submitted for final defense:

  • Varga János Zoltán (50%), Csiki Máté (50%), Alipanah Sabri, Sallai Dóra

PhD student:

  • Mészáros Mercédesz, Michael Asiamah

Reviewer of doctoral theses:

  • Boros Eszter (BCE, 2021-III-31, HU)

  • Petneházi Gábor (DE, 2022-II-14, HU)

  • Ibrahim Niftiyev (SZTE, 2023-I-23, HU)

  • Konrad Kostrzewa (SGH, To be dated, PL)

Econometric methods and softwares

Publications with the following econometric methods:

  • extreme value detection,

  • conditional volatility (GARCH, DCC-GARCH),

  • vector autoregression (VAR), panel VAR, panel VECM,

  • panel regression (RE/FE, dynamic),

  • minimum spanning tree graphs

Econometric software:

  • Matlab 2023a,

  • Eviews 11, 13,

  • Gretl