IDEAS home Printed from https://ideas.repec.org/a/vrs/crebss/v8y2022i2p28-42n3.html
   My bibliography  Save this article

COVID-19 pandemic impact on investment prospective in selected CEE stock markets: A stochastic dominance approach

Author

Listed:
  • Kedžo Margareta Gardijan

    (Faculty of Economics and Business, University of Zagreb, Croatia)

Abstract

The COVID-19 pandemic and its impact on the stock markets in the Central and East European (CEE) countries have been investigated in many papers, but mostly from the perspective of the market connectedness and the spillovers. None of the existing researches addressed the potential changes in the investors’ utility in a certain market caused by the pandemics. Therefore, this paper compares investors’ prospective in the periods before and during the pandemics in the selected CEE markets in terms of their utility and provides a new aspect to this research field. The analysis includes Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania and Serbia. By using the first two degrees of the stochastic dominance (SD) criteria, market returns before and during the pandemics are compared in order to find dominant (efficient) investment alternative for all investors who prefer greater return and smaller variance (risk averters). This procedure is executed within a certain market and between different markets in these two periods. The results indicate that there is no dominance between pre-pandemic and pandemic returns for all CEE markets when the whole distribution is observed, indicating that the markets generally recuperated in the mid-run. The dominance relations can be found only in the trimmed series. Moreover, it is possible to find CEE markets which dominate over some other, in both pre-pandemic and pandemic period, representing a better investment opportunity for all risk averters.

Suggested Citation

  • Kedžo Margareta Gardijan, 2022. "COVID-19 pandemic impact on investment prospective in selected CEE stock markets: A stochastic dominance approach," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 8(2), pages 28-42, December.
    • Handle: RePEc:vrs:crebss:v:8:y:2022:i:2:p:28-42:n:3
    DOI: 10.2478/crebss-2022-0008
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/crebss-2022-0008
    Download Restriction: no
    File URL: https://libkey.io/10.2478/crebss-2022-0008?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Margareta Gardijan Kedžo & Boško Šego, 2021. "The relative efficiency of option hedging strategies using the third-order stochastic dominance," Computational Management Science, Springer, vol. 18(4), pages 477-504, October.
    2. Mourad Mroua & Hejer Bouattour & Nader Naifar, 2022. "Dynamic links between renewable energy, commodities, and financial stock markets: Implications for portfolio diversification," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-28, March.
    3. G. Hanoch & H. Levy, 1969. "The Efficiency Analysis of Choices Involving Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 36(3), pages 335-346.
    4. Pho, Kim Hung & Ly, Sel & Lu, Richard & Hoang, Thi Hong Van & Wong, Wing-Keung, 2021. "Is Bitcoin a better portfolio diversifier than gold? A copula and sectoral analysis for China," International Review of Financial Analysis, Elsevier, vol. 74(C).
    5. Celal Barkan Guran & Umut Ugurlu & Oktay Tas, 2019. "Mean-Variance Portfolio Optimization of Energy Stocks Supported with Second Order Stochastic Dominance Efficiency," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 69(4), pages 366-383, August.
    6. Mourad Mroua & Slah Bahloul & Nader Naifar, 2022. "Should investors include bitcoin in their portfolio? New evidence from a bootstrap-based stochastic dominance approach," Applied Economics Letters, Taylor & Francis Journals, vol. 29(1), pages 53-62, January.
    7. AlKhazali, Osamah M. & Lean, Hooi Hooi & Mirzaei, Ali & Zoubi, Taisier, 2021. "A comparison of the gold-oil portfolio and oil portfolio: A stochastic dominance approach," Finance Research Letters, Elsevier, vol. 40(C).
    8. Rehman, Mobeen Ur & Ahmad, Nasir & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2022. "Dependence dynamics of stock markets during COVID-19," Emerging Markets Review, Elsevier, vol. 51(PB).
    9. Tung Liang Liao & Li-Chueh Tsai & Mei-Chu Ke & Yi-Chein Chiang & Chuan-Hao Hsu, 2019. "Financial crisis and market efficiency: evidence from European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 25(13), pages 1194-1210, September.
    10. contact_cb@yahoo.com. & Simona STAMULE & Iulian Cornel LOLEA, 2021. "The Spillover Effect on the CEE Equity Markets and the Financial Contagion in the Context of Financial Integration," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 155-170, December.
    11. Zhenzhen Zhu & Zhidong Bai & João Paulo Vieito & Wing-Keung Wong, 2019. "The impact of the global financial crisis on the efficiency and performance of Latin American stock markets," Estudios de Economia, University of Chile, Department of Economics, vol. 46(1), pages 5-30, June.
    12. Pedro Pardal & Rui Dias & Petr Suler & Nuno Teixeira & Tomas Krulicky, 2020. "Integration in Central European capital markets in the context of the global COVID-19 pandemic," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 15(4), pages 627-650, December.
    13. Karkowska, Renata & Urjasz, Szczepan, 2021. "Connectedness structures of sovereign bond markets in Central and Eastern Europe," International Review of Financial Analysis, Elsevier, vol. 74(C).
    14. Tihana Škrinjarić, 2021. "Profiting on the Stock Market in Pandemic Times: Study of COVID-19 Effects on CESEE Stock Markets," Mathematics, MDPI, vol. 9(17), pages 1-20, August.
    15. Michał Buszko & Witold Orzeszko & Marcin Stawarz, 2021. "COVID-19 pandemic and stability of stock market—A sectoral approach," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-26, May.
    16. Wen hsiang Chiu & Shih-wei Hung & Chiung-ju Liang, 2020. "The Mediation effect for Bitcoin, Evidence from China Market on the Period of Covid-19 Outbreaking," Economics Bulletin, AccessEcon, vol. 40(3), pages 1985-1993.
    17. Anyfantaki, Sofia & Arvanitis, Stelios & Topaloglou, Nikolas, 2021. "Diversification benefits in the cryptocurrency market under mild explosivity," European Journal of Operational Research, Elsevier, vol. 295(1), pages 378-393.
    18. Selma Öner & Hakan Öner & Hande Kılıç Satıcı, 2022. "Spillover Effects of Stock Markets in the COVID-19 Pandemic Period: Evidence From Central and East European Countries," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 72(72-1), pages 211-238, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Usman, 2023. "A stochastic dominance analysis of conventional and clean energy stocks during different oil market conditions," Empirical Economics, Springer, vol. 65(2), pages 875-897, August.
    2. Rubaiyat Ahsan Bhuiyan & Afzol Husain & Changyong Zhang, 2023. "Diversification evidence of bitcoin and gold from wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-36, December.
    3. Beata Bieszk-Stolorz & Iwona Markowicz, 2021. "Decline in Share Prices of Energy and Fuel Companies on the Warsaw Stock Exchange as a Reaction to the COVID-19 Pandemic," Energies, MDPI, vol. 14(17), pages 1-17, August.
    4. Kai-Yin Woo & Chulin Mai & Michael McAleer & Wing-Keung Wong, 2020. "Review on Efficiency and Anomalies in Stock Markets," Economies, MDPI, vol. 8(1), pages 1-51, March.
    5. Oliver Linton & Esfandiar Maasoumi & Yoon-Jae Wang, 2002. "Consistent testing for stochastic dominance: a subsampling approach," CeMMAP working papers 03/02, Institute for Fiscal Studies.
    6. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    7. Das, Debojyoti & Bhatia, Vaneet & Kumar, Surya Bhushan & Basu, Sankarshan, 2022. "Do precious metals hedge crude oil volatility jumps?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    8. Kwame Addae‐Dapaah & Wilfred Tan Yong Hwee, 2009. "The unsung impact of currency risk on the performance of international real property investment," Review of Financial Economics, John Wiley & Sons, vol. 18(1), pages 56-65, January.
    9. Chambers, Marcus J & Bailey, Roy E, 1996. "A Theory of Commodity Price Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 924-957, October.
    10. Wojtek Michalowski & Włodzimierz Ogryczak, 2001. "Extending the MAD portfolio optimization model to incorporate downside risk aversion," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(3), pages 185-200, April.
    11. Ogryczak, Wlodzimierz & Ruszczynski, Andrzej, 1999. "From stochastic dominance to mean-risk models: Semideviations as risk measures," European Journal of Operational Research, Elsevier, vol. 116(1), pages 33-50, July.
    12. Hugo S. Gonçalves & Sérgio Moro, 2023. "On the economic impacts of COVID‐19: A text mining literature analysis," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 375-394, February.
    13. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2013. "Risk-averse and Risk-seeking Investor Preferences for Oil Spot and Futures," Documentos de Trabajo del ICAE 2013-31, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, revised Aug 2013.
    14. Darren Butterworth & Phil Holmes, 2005. "The Hedging Effectiveness of U.K. Stock Index Futures Contracts Using an Extended Mean Gini Approach: Evidence for the FTSE 100 and FTSE Mid250 Contracts," Multinational Finance Journal, Multinational Finance Journal, vol. 9(3-4), pages 131-160, September.
    15. Raymond H. Chan & Ephraim Clark & Xu Guo & Wing-Keung Wong, 2020. "New development on the third-order stochastic dominance for risk-averse and risk-seeking investors with application in risk management," Risk Management, Palgrave Macmillan, vol. 22(2), pages 108-132, June.
    16. Moshe Levy & Haim Levy, 2013. "Prospect Theory: Much Ado About Nothing?," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 7, pages 129-144, World Scientific Publishing Co. Pte. Ltd..
    17. Heller, Yuval & Schreiber, Amnon, 2020. "Short-term investments and indices of risk," Theoretical Economics, Econometric Society, vol. 15(3), July.
    18. Noori, Mohammad & Hitaj, Asmerilda, 2023. "Dissecting hedge funds' strategies," International Review of Financial Analysis, Elsevier, vol. 85(C).
    19. Michael J. Seiler & David M. Harrison & Pim Van Vliet & Kit Ching Yeung, 2005. "Return Characteristics of State‐Owned and Non‐State‐Owned Chinese A Shares," The Financial Review, Eastern Finance Association, vol. 40(4), pages 533-548, November.
    20. Joseph Aharony & Sasson Bar†Yosef, 1987. "Tests of the impact of LIFO adoption on stockholders: A stochastic dominance approach," Contemporary Accounting Research, John Wiley & Sons, vol. 3(2), pages 430-444, March.

    More about this item

    Keywords

    CEE; COVID-19; efficiency; k stochastic dominance; stock market;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:crebss:v:8:y:2022:i:2:p:28-42:n:3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.