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Michał Jerzy Woźniak
(Michal Jerzy Wozniak)

Personal Details

First Name:Michal
Middle Name:Jerzy
Last Name:Wozniak
Suffix:
RePEc Short-ID:pwo298

Affiliation

Wydział Nauk Ekonomicznych
Uniwersytet Warszawski

Warszawa, Poland
http://www.wne.uw.edu.pl/
RePEc:edi:fesuwpl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Michał Woźniak & Marcin Chlebus, 2021. "HCR & HCR-GARCH – novel statistical learning models for Value at Risk estimation," Working Papers 2021-10, Faculty of Economic Sciences, University of Warsaw.
  2. Jacek Lewkowicz & Michał Woźniak & Michał Wrzesiński, 2021. "Institutional Framework of Central Bank Independence: Revisited," Working Papers 2021-06, Faculty of Economic Sciences, University of Warsaw.
  3. Mateusz Kijewski & Szymon Lis & Michał Woźniak & Maciej Wysocki, 2021. "Don’t Worry, Be Happy – But Only Seasonally," Working Papers 2021-12, Faculty of Economic Sciences, University of Warsaw.
  4. Marcin Chlebus & Michał Dyczko & Michał Woźniak, 2020. "Nvidia’s stock returns prediction using machine learning techniques for time series forecasting problem," Working Papers 2020-22, Faculty of Economic Sciences, University of Warsaw.

Articles

  1. Lewkowicz, Jacek & Woźniak, Michał & Wrzesiński, Michał, 2022. "COVID-19 and erosion of democracy," Economic Modelling, Elsevier, vol. 106(C).
  2. Chlebus Marcin & Dyczko Michał & Woźniak Michał, 2021. "Nvidia's Stock Returns Prediction Using Machine Learning Techniques for Time Series Forecasting Problem," Central European Economic Journal, Sciendo, vol. 8(55), pages 44-62, January.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Marcin Chlebus & Michał Dyczko & Michał Woźniak, 2020. "Nvidia’s stock returns prediction using machine learning techniques for time series forecasting problem," Working Papers 2020-22, Faculty of Economic Sciences, University of Warsaw.

    Cited by:

    1. Maudud Hassan Uzzal & Robert Ślepaczuk, 2023. "The performance of time series forecasting based on classical and machine learning methods for S&P 500 index," Working Papers 2023-05, Faculty of Economic Sciences, University of Warsaw.
    2. Karol Chojnacki & Robert Ślepaczuk, 2023. "This study compares well-known tools of technical analysis (Moving Average Crossover MAC) with Machine Learning based strategies (LSTM and XGBoost) and Ensembled Machine Learning Strategies (LSTM ense," Working Papers 2023-15, Faculty of Economic Sciences, University of Warsaw.

Articles

  1. Lewkowicz, Jacek & Woźniak, Michał & Wrzesiński, Michał, 2022. "COVID-19 and erosion of democracy," Economic Modelling, Elsevier, vol. 106(C).

    Cited by:

    1. Gossé, Jean-Baptiste & Jehle, Camille, 2024. "Benefits of diversification in EU capital markets: Evidence from stock portfolios," Economic Modelling, Elsevier, vol. 135(C).
    2. Thierry Blayac & Dimitri Dubois & Sébastien Duchêne & Phu Nguyen-Van & Bruno Ventelou & Marc Willinger, 2022. "What drives the acceptability of restrictive health policies: An experimental assessment of individual preferences for anti-COVID 19 strategies," Post-Print hal-03866196, HAL.
    3. Croissant, Aurel & Kühn, David & Macias-Weller, Ariam & Pion-Berlin, David, 2023. "Militarisation of COVID-19 responses and autocratisation: A comparative study of eight countries in Asia-Pacific and Latin America," GIGA Working Papers 334, GIGA German Institute of Global and Area Studies.
    4. Bandyopadhyay, Simanti & Kabiraj, Sujana & Majumder, Subrata, 2023. "Subnational governments and COVID management," Economic Modelling, Elsevier, vol. 124(C).
    5. Alba Taboada-Villamarín & Cristóbal Torres-Albero, 2024. "Digital Communication Studies during the Pandemic: A Sociological Review Using Topic Modeling Strategy," Social Sciences, MDPI, vol. 13(2), pages 1-18, January.
    6. Nguenda Anya, Saturnin Bertrand & Nzepang, Fabrice, 2022. "The role of the separation of democratic powers on structural transformation in Sub-Saharan Africa," Economic Systems, Elsevier, vol. 46(4).
    7. Stankov, Petar, 2024. "Will voters polarize over pandemic restrictions? Theory and evidence from COVID-19," Economic Modelling, Elsevier, vol. 136(C).

  2. Chlebus Marcin & Dyczko Michał & Woźniak Michał, 2021. "Nvidia's Stock Returns Prediction Using Machine Learning Techniques for Time Series Forecasting Problem," Central European Economic Journal, Sciendo, vol. 8(55), pages 44-62, January.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 4 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (2) 2020-08-24 2021-07-12. Author is listed
  2. NEP-ORE: Operations Research (2) 2020-08-24 2021-06-14. Author is listed
  3. NEP-CBA: Central Banking (1) 2021-05-24. Author is listed
  4. NEP-CMP: Computational Economics (1) 2020-08-24. Author is listed
  5. NEP-ETS: Econometric Time Series (1) 2021-06-14. Author is listed
  6. NEP-FMK: Financial Markets (1) 2020-08-24. Author is listed
  7. NEP-FOR: Forecasting (1) 2020-08-24. Author is listed
  8. NEP-HAP: Economics of Happiness (1) 2021-07-12. Author is listed
  9. NEP-MAC: Macroeconomics (1) 2021-05-24. Author is listed
  10. NEP-RMG: Risk Management (1) 2021-06-14. Author is listed

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