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Vasja Sivec

Personal Details

First Name:Vasja
Middle Name:
Last Name:Sivec
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RePEc Short-ID:psi806

Research output

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Jump to: Working papers Articles

Working papers

  1. Sivec, Vasja & Volk, Matjaz & Chen, Yi-An, 2018. "Empirical Evidence on the Effectiveness of Capital Buffer Release," MPRA Paper 84323, University Library of Munich, Germany, revised 02 Jan 2018.
  2. Sivec, Vasja & Volk, Matjaz, 2017. "Bank Response to Policy Related Changes in Capital Requirements," MPRA Paper 83058, University Library of Munich, Germany.
  3. Marcellino, Massimiliano & Sivec, Vasja, 2015. "Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs," CEPR Discussion Papers 10610, C.E.P.R. Discussion Papers.

Articles

  1. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.

    Mentioned in:

    1. > Econometrics > Time Series Models > Dynamic Factor Models > Structural Factor Models

Working papers

  1. Sivec, Vasja & Volk, Matjaz & Chen, Yi-An, 2018. "Empirical Evidence on the Effectiveness of Capital Buffer Release," MPRA Paper 84323, University Library of Munich, Germany, revised 02 Jan 2018.

    Cited by:

    1. Carla Marques & Ricardo Martinho & Rui Silva, 2020. "Non-performing loans and bank lending: Evidence for Portugal," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  2. Marcellino, Massimiliano & Sivec, Vasja, 2015. "Monetary, Fiscal and Oil Shocks: Evidence based on Mixed Frequency Structural FAVARs," CEPR Discussion Papers 10610, C.E.P.R. Discussion Papers.

    Cited by:

    1. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2018. "Measuring Uncertainty and Its Impact on the Economy," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 799-815, December.
    2. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    3. Hassani, Hossein & Rua, António & Silva, Emmanuel Sirimal & Thomakos, Dimitrios, 2019. "Monthly forecasting of GDP with mixed-frequency multivariate singular spectrum analysis," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1263-1272.
    4. Fu Qiao & Yan Yan, 2020. "How does stock market reflect the change in economic demand? A study on the industry-specific volatility spillover networks of China's stock market during the outbreak of COVID-19," Papers 2007.07487, arXiv.org.
    5. Deqing Wang & Yinqiu Song & Hongyan Zhang & Shengjie Pan, 2020. "The Effectiveness of Chinas Monetary Policy: Based on the Mixed-Frequency Data," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 10(3), pages 325-339, March.
    6. Franz Ramsauer & Aleksey Min & Michael Lingauer, 2019. "Estimation of FAVAR Models for Incomplete Data with a Kalman Filter for Factors with Observable Components," Econometrics, MDPI, Open Access Journal, vol. 7(3), pages 1-43, July.
    7. Dhaene, Geert & Wu, Jianbin, 2020. "Incorporating overnight and intraday returns into multivariate GARCH volatility models," Journal of Econometrics, Elsevier, vol. 217(2), pages 471-495.
    8. Stock, J.H. & Watson, M.W., 2016. "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.),Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 415-525, Elsevier.

Articles

  1. Marcellino, Massimiliano & Sivec, Vasja, 2016. "Monetary, fiscal and oil shocks: Evidence based on mixed frequency structural FAVARs," Journal of Econometrics, Elsevier, vol. 193(2), pages 335-348.
    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 3 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-CBA: Central Banking (2) 2017-12-18 2018-03-05. Author is listed
  2. NEP-RMG: Risk Management (2) 2017-12-18 2018-03-05. Author is listed
  3. NEP-BAN: Banking (1) 2018-03-05. Author is listed
  4. NEP-ECM: Econometrics (1) 2015-06-05. Author is listed
  5. NEP-ENE: Energy Economics (1) 2015-06-05. Author is listed
  6. NEP-MAC: Macroeconomics (1) 2015-06-05. Author is listed
  7. NEP-TRA: Transition Economics (1) 2018-03-05. Author is listed

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