Ivana Kvapilíková Ivana Muzikářová

Main Research Interests

  • Neural machine translation, unsupervised machine translation
  • Text mining, sentiment analysis
  • Neural networks in finance, risk modelling, wavelet theory in finance

Curriculum Vitae

2018 – present                PhD program in Computational Linguistics

Charles University in Prague, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics

Dissertation topic: Towards machine translation based on monolingual texts


2012 – 2015                     Master's degree in Economics & Finance (summa cum laude)

2009 – 2012                     Bachelor's degree in Economics (summa cum laude)

Charles University in Prague, Faculty of Social Sciences, Institute of Economic Studies

Master's thesis topic: Measuring systemic risk in time-frequency domain


2015                                  Study exchange at University of Otago, Dunedin, New Zealand

2013                                  Study exchange at Universdad de Granada, Granada, Spain

Selected Bibliography

Petr Teply, Ivana Kvapilikova. Measuring systemic risk of the US banking sector in time-frequency domain. The North American Journal of Economics and Finance, Volume 42, 2017, Pages 461-472, ISSN 1062-9408, https://doi.org/10.1016/j.najef.2017.08.007.