IDEAS home Printed from https://ideas.repec.org/a/jfr/ijfr11/v11y2020i6p318-336.html
   My bibliography  Save this article

Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange

Author

Listed:
  • Jaber Yasmina

Abstract

This study is an attempt to explain the relationship between intraday return and volume in Tunisian Stock Market. Indeed, former researches avow that the trading activity have the main explanatory power for volatility. However, most theories measure the activity of transactions through the size of exchange or the number of transactions. Nevertheless, these components are not aware enough of the importance of the direction of exchange when explaining the phenomenon of asymmetry of volatility. In the most of studies, the technique ¡°Augmented Tick Test¡± (ATT) is employed so as to identify the direction of exchange. Such technique is adapted for the markets directed by orders like the Tunisian financial market. Again, this paper shows that the impact of the direction of exchange differs according to the market trend. In other words, if the returns are positive, the transactions of sale (of purchase) generate a decrease (increase) of volatility; whereas, they induce an increase (drop) of volatility if returns are negative. This result stresses the significance of exchange direction in explaning the asymmetry of volatility. Moreover, throughout this study, one may affirm that ¡°Herding trades¡± are at the origin of the increase of volatility, while the ¡°Contrarian trades¡± reduce volatility. Similarly, the identification of the direction of exchange enables us to affirm that the transactions of the initiates are characterized by the absence of returns auto- correlation; whereas, the transactions carried out by uninformed investors present an auto- correlation of the returns. In fact, the sign of this correlation varies according to transaction direction.

Suggested Citation

  • Jaber Yasmina, 2020. "Transactions Volume, Exchange Direction and Asymmetry of Volatility in Emerging Market: Evidence From Tunisian Stock Exchange," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(6), pages 318-336, December.
  • Handle: RePEc:jfr:ijfr11:v:11:y:2020:i:6:p:318-336
    DOI: 10.5430/ijfr.v11n6p318
    as

    Download full text from publisher

    File URL: http://www.sciedu.ca/journal/index.php/ijfr/article/view/19704/12035
    Download Restriction: no

    File URL: http://www.sciedu.ca/journal/index.php/ijfr/article/view/19704
    Download Restriction: no

    File URL: https://libkey.io/10.5430/ijfr.v11n6p318?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. Anirut Pisedtasalasai & Abeyratna Gunasekarage, 2007. "Causal and Dynamic Relationships among Stock Returns, Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(4), pages 277-297, December.
    2. Pramod Kumar Naik & Puja Padhi, 2015. "Stock Market Volatility and Equity Trading Volume: Empirical Examination from Brazil, Russia, India and China (BRIC)," Global Business Review, International Management Institute, vol. 16(5_suppl), pages 28-45, October.
    3. Wang, Yi-Chiuan & Wu, Jyh-Lin & Lai, Yi-Hao, 2018. "New evidence on asymmetric return–volume dependence and extreme movements," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 212-227.
    4. Pramod Kumar Naik & Rangan Gupta & Puja Padhi, 2018. "The Relationship Between Stock Market Volatility And Trading Volume: Evidence From South Africa," Journal of Developing Areas, Tennessee State University, College of Business, vol. 52(1), pages 99-114, January-M.
    5. Ni, Yensen & Liao, Yi-Ching & Huang, Paoyu, 2015. "MA trading rules, herding behaviors, and stock market overreaction," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 253-265.
    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. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    2. Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
    3. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Risks, MDPI, vol. 6(4), pages 1-18, September.
    4. Tazhikul Mashirova & Karlygash Tastanbekova & Murat Nurgabylov & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023. "Analysis of the Relationship between the Highest Price and the Trading Volume of the Energy Company Shares in Kazakhstan with Frequency Domain Causality Method," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 22-27, July.
    5. Yensen Ni & Yirung Cheng & Yulu Liao & Paoyu Huang, 2022. "Does board structure affect stock price overshooting informativeness measured by stochastic oscillator indicators?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2290-2302, April.
    6. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti & Aris Kartsaklas, 2021. "Investors' trading behaviour and stock market volatility during crisis periods: A dual long‐memory model for the Korean Stock Exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4441-4461, July.
    7. Johann Lussange & Stefano Vrizzi & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2023. "Stock Price Formation: Precepts from a Multi-Agent Reinforcement Learning Model," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1523-1544, April.
    8. Camillo Lento & Nikola Gradojevic, 2022. "The Profitability of Technical Analysis during the COVID-19 Market Meltdown," JRFM, MDPI, vol. 15(5), pages 1-19, April.
    9. Johann Lussange & Ivan Lazarevich & Sacha Bourgeois-Gironde & Stefano Palminteri & Boris Gutkin, 2021. "Modelling Stock Markets by Multi-agent Reinforcement Learning," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 113-147, January.
    10. Chaido Dritsaki, 2014. "The Dynamic Relationship between Stock Volatility and Trading Volume from the Athens Stock Exchange," International Journal of Empirical Finance, Research Academy of Social Sciences, vol. 3(3), pages 152-165.
    11. Wang, Haiying & Yuan, Ying & Li, Yiou & Wang, Xunhong, 2021. "Financial contagion and contagion channels in the forex market: A new approach via the dynamic mixture copula-extreme value theory," Economic Modelling, Elsevier, vol. 94(C), pages 401-414.
    12. Yensen Ni, 2024. "Navigating Energy and Financial Markets: A Review of Technical Analysis Used and Further Investigation from Various Perspectives," Energies, MDPI, vol. 17(12), pages 1-22, June.
    13. Ni, Yensen & Cheng, Yirung & Huang, Paoyu & Day, Min-Yuh, 2018. "Trading strategies in terms of continuous rising (falling) prices or continuous bullish (bearish) candlesticks emitted," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 188-204.
    14. Balaga Mohana Rao & Puja Padhi, 2020. "Common Determinants of the Likelihood of Currency Crises in BRICS," Global Business Review, International Management Institute, vol. 21(3), pages 698-712, June.
    15. Karima Saci, 2022. "Modelling the Relationship Between Trading Volume and Stock Returns Volatility for Islamic and Conventional Banks: The Case of Saudi Arabia نمذجة العلاقة بين حجم التداول وتقلب عوائد الأسهم للبنوك الإس," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 35(1), pages 41-55, January.
    16. Hiren Patel, 2021. "Target Price Achievement and Target Price Accuracy Models: An Analysis of Advisory Firms’ Recommendation for the Indian Banking Stocks," Global Business Review, International Management Institute, vol. 22(2), pages 459-473, April.
    17. Alessio Emanuele Biondo, 2019. "Order book modeling and financial stability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(3), pages 469-489, September.
    18. Tiwari, Aviral Kumar & Boachie, Micheal Kofi & Suleman, Muhammed Tahir & Gupta, Rangan, 2021. "Structure dependence between oil and agricultural commodities returns: The role of geopolitical risks," Energy, Elsevier, vol. 219(C).
    19. Talla M Aldeehani, 2019. "Have Stock Markets Become Less Volatile After the Great Recession?," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 10-25, December.
    20. Sifat, Imtiaz Mohammad & Thaker, Hassanudin Mohd Thas, 2020. "Predictive power of web search behavior in five ASEAN stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).

    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:jfr:ijfr11:v:11:y:2020:i:6:p:318-336. 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: Gina Perry (email available below). General contact details of provider: http://ijfr.sciedupress.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.