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Heavy tails and asymmetry of returns in the Russian stock market

Author

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  • Ankudinov, Andrei
  • Ibragimov, Rustam
  • Lebedev, Oleg

Abstract

The paper presents the robust estimates of tail indices for financial returns and returns asymmetry in the Russian stock market. We also investigate the relation between individual characteristics of companies and the degree of heavy-tailedness and asymmetry of returns. According to our estimates, the degree of heavy-tailedness is strongly related to the liquidity of stocks and the company size. At the same time, no significant effects on estimates of the tail indices of sectoral affiliation, cross-listing, adding into quotation lists, state ownership are revealed. As for the influence of the above-mentioned factors on the asymmetry of returns, the statistical reliability of relevant models is rather low. However, certain indicators of the asymmetry are observed for medium-sized regional companies, the majority showing a heavier right tail compared to the left tail. We also discuss the implications of our findings for managerial decisions and economic modeling. Our results may be useful for risk-managers, financial regulators, investors and policy-makers.

Suggested Citation

  • Ankudinov, Andrei & Ibragimov, Rustam & Lebedev, Oleg, 2017. "Heavy tails and asymmetry of returns in the Russian stock market," Emerging Markets Review, Elsevier, vol. 32(C), pages 200-219.
    • Handle: RePEc:eee:ememar:v:32:y:2017:i:c:p:200-219
    DOI: 10.1016/j.ememar.2017.08.005
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    Cited by:

    1. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    2. Makoto Nirei & John Stachurski & Tsutomu Watanabe, 2018. "Trade Clustering and Power Laws in Financial Markets (Published in Theoretical Economics, 15:1365?1398, 2020)," CARF F-Series CARF-F-450, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    3. Nirei, Makoto & Stachurski, John & Watanabe, Tsutomu, 2020. "Trade clustering and power laws in financial markets," Theoretical Economics, Econometric Society, vol. 15(4), November.
    4. León, Ángel & Ñíguez, Trino-Manuel, 2020. "Modeling asset returns under time-varying semi-nonparametric distributions," Journal of Banking & Finance, Elsevier, vol. 118(C).
    5. E. I. Kadochnikova* & N. M. Yakupova & I. L. Beilin & Z. N. Zapparova, 2018. "The Impact of Ownership on the Structures Based on Division Between Policies and Companies," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 272-276:5.
    6. Jonathan Batten & Xuan Vinh Vo, 2019. "Liquidity And Firm Value In An Emerging Market," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(02), pages 365-376, March.
    7. Kutan, Ali M. & Shi, Yukun & Wei, Mingzhe & Zhao, Yang, 2018. "Does the introduction of index futures stabilize stock markets? Further evidence from emerging markets," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 183-197.
    8. Andrey B. Ankudinov & Bela S. Bataeva, 2021. "Capital structure and market capitalization: Empirical analysis of Russian public companies," Upravlenets, Ural State University of Economics, vol. 12(2), pages 35-42, April.
    9. Echaust, Krzysztof & Just, Małgorzata, 2022. "Is gold still a safe haven for stock markets? New insights through the tail thickness of portfolio return distributions," Research in International Business and Finance, Elsevier, vol. 63(C).

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    More about this item

    Keywords

    Heavy tails; Emerging markets; Russian economy; Asymmetry of returns; Determinants of heavy-tailedness; Log-log rank-size regression;
    All these keywords.

    JEL classification:

    • G19 - Financial Economics - - General Financial Markets - - - Other
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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