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Boril Sopov

Personal Details

First Name:Boril
Middle Name:
Last Name:Sopov
Suffix:
RePEc Short-ID:pso290
[This author has chosen not to make the email address public]

Affiliation

Institut ekonomických studií
Univerzita Karlova v Praze

Praha, Czech Republic
http://ies.fsv.cuni.cz/
RePEc:edi:icunicz (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Roman Horváth & Boril Sopov, 2015. "GARCH Models, Tail Indexes and Error Distributions: An Empirical Investigation," Working Papers IES 2015/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2015.
  2. Boril Šopov & Jakub Seidler, 2010. "Yield Curve Dynamics: Regional Common Factor Model," Working Papers IES 2010/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2010.

Articles

  1. Horváth, Roman & Šopov, Boril, 2016. "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 1-15.
  2. Boril Šopov & Jakub Seidler, 2011. "Yield Curve Dynamics: Regional Common Factor Model," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 140-156.

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. Roman Horváth & Boril Sopov, 2015. "GARCH Models, Tail Indexes and Error Distributions: An Empirical Investigation," Working Papers IES 2015/09, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised May 2015.

    Cited by:

    1. Georgios Bampinas & Konstantinos Ladopoulos & Theodore Panagiotidis, 2017. "A note on the estimated GARCH coefficients from the S&P1500 universe," Discussion Paper Series 2017_04, Department of Economics, University of Macedonia, revised May 2017.
    2. Guo, Xu & McAleer, Michael & Wong, Wing-Keung & Zhu, Lixing, 2017. "A Bayesian approach to excess volatility, short-term underreaction and long-term overreaction during financial crises," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 346-358.
    3. Damek, Ewa & Matsui, Muneya, 2022. "Tails of bivariate stochastic recurrence equation with triangular matrices," Stochastic Processes and their Applications, Elsevier, vol. 150(C), pages 147-191.

  2. Boril Šopov & Jakub Seidler, 2010. "Yield Curve Dynamics: Regional Common Factor Model," Working Papers IES 2010/17, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2010.

    Cited by:

    1. Vilimir Yordanov, 2012. "The Bulgarian Foreign and Domestic Debt ??? A No-Arbitrage Macrofinancial View," William Davidson Institute Working Papers Series wp1032, William Davidson Institute at the University of Michigan.
    2. Lubomira Gertler, 2015. "Interactions of Unconventional Monetary Policy Measures with the Euro Area Yield Curve," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(2), pages 106-126, March.

Articles

  1. Horváth, Roman & Šopov, Boril, 2016. "GARCH models, tail indexes and error distributions: An empirical investigation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 1-15.
    See citations under working paper version above.
  2. Boril Šopov & Jakub Seidler, 2011. "Yield Curve Dynamics: Regional Common Factor Model," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 140-156.
    See citations under working paper version above.Sorry, no citations of articles recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 2 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-ECM: Econometrics (1) 2015-05-30
  2. NEP-ETS: Econometric Time Series (1) 2015-05-30
  3. NEP-FMK: Financial Markets (1) 2010-09-11
  4. NEP-IFN: International Finance (1) 2010-09-11
  5. NEP-RMG: Risk Management (1) 2015-05-30

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