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Asymmetric Volatility and Leverage Effect in Stock Market: A Bibliometric Review

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  • Neenu C
  • T Mohamed Nishad

Abstract

This paper aims to provide quantitative statistics and a comprehensive review of the key influential and intellectual structure of asymmetric volatility and leverage effect in the stock market. This study reviews 271 articles and review papers published in scientific journals indexed by the Scopus database from 1994 to 2021. VOSviewer and Excel software are used to analyse the collected data and apply the bibliometric tests such as citation analysis of documents, source, authors, institutions and countries, Co-occurrence analysis of author keywords, co-authorship and Bibliographic coupling of authors, source and countries. By analysing the growth in this topic, during the first 10 years, the publication in this topic was considerably less. After that, until 2020, the growth is remarkable. Further, the study identifies the most influential and impactful authors, journals, institutions, and countries to asymmetric volatility and leverage effect in the stock market. To the best of the author’s knowledge, this is one of the first papers to address the literature of asymmetric volatility and leverage effect in the stock market from a bibliometric aspect. It helps researchers and other academicians to explore and build a quantitative base regarding the scientific development of asymmetric volatility and leverage effect in the stock market.

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  • Neenu C & T Mohamed Nishad, 2022. "Asymmetric Volatility and Leverage Effect in Stock Market: A Bibliometric Review," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 14(1), pages 21-34, June.
  • Handle: RePEc:rfb:journl:v:14:y:2022:i:1:p:21-34
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    1. Bowden, Nicholas & Payne, James E., 2008. "Short term forecasting of electricity prices for MISO hubs: Evidence from ARIMA-EGARCH models," Energy Economics, Elsevier, vol. 30(6), pages 3186-3197, November.
    2. Wu, Guojun, 2001. "The Determinants of Asymmetric Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 14(3), pages 837-859.
    3. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    4. Susmel, Raul & Engle, Robert F., 1994. "Hourly volatility spillovers between international equity markets," Journal of International Money and Finance, Elsevier, vol. 13(1), pages 3-25, February.
    5. Meddahi, Nour & Renault, Eric, 2004. "Temporal aggregation of volatility models," Journal of Econometrics, Elsevier, vol. 119(2), pages 355-379, April.
    6. Manabu Asai, 2013. "Heterogeneous Asymmetric Dynamic Conditional Correlation Model with Stock Return and Range," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(5), pages 469-480, August.
    7. Islam , K. M. Zahidul & Ahmed, Sayed Farrukh, 2015. "Stock Market Crash and Stock Return Volatility: Empirical Evidence from Dhaka Stock Exchange," Bangladesh Development Studies, Bangladesh Institute of Development Studies (BIDS), vol. 38(3), pages 25-34, September.
    8. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2012. "Asymmetric capital structure adjustments: New evidence from dynamic panel threshold models," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 465-482.
    9. Cheekiat Low, 2004. "The Fear and Exuberance from Implied Volatility of S&P 100 Index Options," The Journal of Business, University of Chicago Press, vol. 77(3), pages 527-546, July.
    10. Olan Henry, 1998. "Modelling the asymmetry of stock market volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 8(2), pages 145-153.
    11. M. Karanasos & S. Yfanti, 2020. "On the macro-drivers of realized volatility: the destabilizing impact of UK policy uncertainty across Europe," The European Journal of Finance, Taylor & Francis Journals, vol. 26(12), pages 1146-1183, August.
    12. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    13. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1‐2), pages 83-101, January.
    14. Abdulnasser Hatemi-J, 2012. "Asymmetric causality tests with an application," Empirical Economics, Springer, vol. 43(1), pages 447-456, August.
    15. Bollerslev, Tim & Zhou, Hao, 2006. "Volatility puzzles: a simple framework for gauging return-volatility regressions," Journal of Econometrics, Elsevier, vol. 131(1-2), pages 123-150.
    16. Bouri, Elie & Azzi, Georges & Dyhrberg, Anne Haubo, 2017. "On the return-volatility relationship in the Bitcoin market around the price crash of 2013," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 11, pages 1-16.
    17. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
    18. Dima Alberg & Haim Shalit & Rami Yosef, 2008. "Estimating stock market volatility using asymmetric GARCH models," Applied Financial Economics, Taylor & Francis Journals, vol. 18(15), pages 1201-1208.
    19. Ender Su & John Bilson, 2011. "Trading asymmetric trend and volatility by leverage trend GARCH in Taiwan stock index," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3891-3905.
    20. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    21. Gregory Koutmos, 1999. "Asymmetric Price and Volatility Adjustments in Emerging Asian Stock Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(1-2), pages 83-101.
    22. Michael McAleer & Suhejla Hoti & Felix Chan, 2009. "Structure and Asymptotic Theory for Multivariate Asymmetric Conditional Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 28(5), pages 422-440.
    23. Farooq Malik, 2011. "Estimating the impact of good news on stock market volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 21(8), pages 545-554.
    24. Liu, Heping & Shi, Jing, 2013. "Applying ARMA–GARCH approaches to forecasting short-term electricity prices," Energy Economics, Elsevier, vol. 37(C), pages 152-166.
    25. Singh Amanjot, 2017. "Modeling Conditional Volatility of Indian Banking Sector’s Stock Market Returns," Scientific Annals of Economics and Business, Sciendo, vol. 64(3), pages 325-338, October.
    26. Koutmos, Gregory, 1998. "Asymmetries in the Conditional Mean and the Conditional Variance: Evidence From Nine Stock Markets," Journal of Economics and Business, Elsevier, vol. 50(3), pages 277-290, May.
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