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Political uncertainty, COVID-19 pandemic and stock market volatility transmission

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  • Apostolakis, George N.
  • Floros, Christos
  • Gkillas, Konstantinos
  • Wohar, Mark

Abstract

News about referendums and the ongoing evolution of a global contagious increase uncertainty about the development of economic fundamentals reflected by increased volatility in the financial markets. In this paper, employing volatility impulse response functions and assessing the volatility spillovers we examine intra-market volatility transmission in the Athens stock market. We employ a large sample period of daily data that spans from December 1999 to December 2020 and captures major events of the last 20 years especially related to the announcement of the two referendums during the Greek government-debt crisis in 2010 and the economic and political turmoil that increased country instability, the following years, the BREXIT referendum and the COVID-19 pandemic of 2020. Our results demonstrate that negative shocks during the announcement of the referendum produce larger impulse responses than during the announcement of the country lockdowns. Furthermore, we shed light on the existence of the dynamic relationship of volatility spillovers. Volatility spillovers peaked during the COVID-19 pandemic. Dynamic spillover plots demonstrate that during the COVID-19 pandemic, more volatility is transmitted by mid cap firms to large cap firms. Our findings have implications to market participants, policy makers and market regulators.

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  • Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Political uncertainty, COVID-19 pandemic and stock market volatility transmission," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
  • Handle: RePEc:eee:intfin:v:74:y:2021:i:c:s1042443121001025
    DOI: 10.1016/j.intfin.2021.101383
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    Cited by:

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    2. Qiuyun Wang & Lu Liu, 2022. "Pandemic or panic? A firm-level study on the psychological and industrial impacts of COVID-19 on the Chinese stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    3. Naeem, Muhammad Abubakr & Karim, Sitara & Uddin, Gazi Salah & Junttila, Juha, 2022. "Small fish in big ponds: Connections of green finance assets to commodity and sectoral stock markets," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Kwadwo Boateng Prempeh & Joseph Magnus Frimpong & Newman Amaning, 2023. "Determining the return volatility of the Ghana stock exchange before and during the COVID-19 pandemic using the exponential GARCH model," SN Business & Economics, Springer, vol. 3(1), pages 1-20, January.
    5. Kazi Sohag & Anna Gainetdinova & Shawkat Hammoudeh & Riad Shams, 2022. "Dynamic Connectedness among Vaccine Companies’ Stock Prices: Before and after Vaccines Released," Mathematics, MDPI, vol. 10(15), pages 1-26, August.

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    More about this item

    Keywords

    Asymmetric effects; Volatility spillovers; GARCH; Volatility impulse responses; Futures; VECM;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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