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Milan Ficura

Personal Details

First Name:Milan
Middle Name:
Last Name:Ficura
Suffix:
RePEc Short-ID:pfi341
[This author has chosen not to make the email address public]

Affiliation

Fakulta Financí a Účetnictví
Vysoká Škola Ekonomická v Praze

Praha, Czech Republic
http://f1.vse.cz/
RePEc:edi:ffvsecz (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Milan Ficura & Jiri Witzany, 2023. "Historical Calibration of SVJD Models with Deep Learning," Working Papers IES 2023/36, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2023.

Articles

  1. Milan Fičura, 2019. "Profitability of Trading in the Direction of Asset Price Jumps - Analysis of Multiple Assets and Frequencies," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(4), pages 385-401.
  2. Jiri Witzany & Milan Ficura, 2019. "Sequential Gibbs Particle Filter Algorithm with Applications to Stochastic Volatility and Jumps Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(5), pages 463-488, October.
  3. Milan Fičura & Jiří Witzany, 2018. "Use of Adapted Particle Filters in SVJD Models," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2018(3), pages 5-20.
  4. Milan Fičura, 2017. "Forecasting Stock Market Realized Variance with Echo State Neural Networks," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2017(3), pages 145-155.
  5. Milan Ficura & Jiri Witzany, 2016. "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 278-301, August.

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

    Sorry, no citations of working papers recorded.

Articles

  1. Milan Ficura & Jiri Witzany, 2016. "Estimating Stochastic Volatility and Jumps Using High-Frequency Data and Bayesian Methods," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(4), pages 278-301, August.

    Cited by:

    1. Jiří Witzany & Milan Fičura, 2023. "Machine Learning Applications to Valuation of Options on Non-liquid Markets," FFA Working Papers 5.001, Prague University of Economics and Business, revised 24 Jan 2023.
    2. Makoto Nakakita & Teruo Nakatsuma, 2021. "Bayesian Analysis of Intraday Stochastic Volatility Models of High-Frequency Stock Returns with Skew Heavy-Tailed Errors," JRFM, MDPI, vol. 14(4), pages 1-29, March.
    3. Milan Fičura & Jiří Witzany, 2018. "Use of Adapted Particle Filters in SVJD Models," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2018(3), pages 5-20.
    4. Janda, Karel & Kourilek, Jakub, 2020. "Residual shape risk on natural gas market with mixed jump diffusion price dynamics," Energy Economics, Elsevier, vol. 85(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper 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 (1) 2024-01-22. Author is listed
  2. NEP-CMP: Computational Economics (1) 2024-01-22. Author is listed
  3. NEP-ECM: Econometrics (1) 2024-01-22. Author is listed

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