IDEAS home Printed from https://ideas.repec.org/p/sek/iacpro/0701697.html
   My bibliography  Save this paper

The Role of Information in Stock Market

Author

Listed:
  • Mahmood Mahmoodzadeh

    (Firoozkooh Branch, Islamic Azad University, Firoozkooh)

  • Saleh Ghavidel

    (Firoozkooh Branch, Islamic Azad University, Firoozkooh)

  • Mir Hosein Mousavi

    (Alzahra University)

Abstract

With relying on game theory, this paper investigates the role of information played in decisions of economic agents in Tehran Stock Exchange (TSE). The behavior of economic agents in a company in the Cement, Lime & Gypsum industry named Tehran Cement listed on the TSE has been investigated through GARCH class models for the period of July 1999 to June 2006. The results suggest that general information through GARCH (1, 1) model affects the company stock price, while private information through GARCH (2, 1) model affects the trading volume. Having explored general and private information, we studied the role of this information in determining stock price and trading volume, according to which the results demonstrate that general information has more influence than private information in determining stock price and trading volume. Therefore, we accept information cascades theory in TSE which means economic agents mostly rely on general information in their trading decisions.

Suggested Citation

  • Mahmood Mahmoodzadeh & Saleh Ghavidel & Mir Hosein Mousavi, 2014. "The Role of Information in Stock Market," Proceedings of International Academic Conferences 0701697, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:0701697
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/12th-international-academic-conference-prague/table-of-content/detail?cid=7&iid=84&rid=1697
    File Function: First version, 2014
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Russ Wermers, 1999. "Mutual Fund Herding and the Impact on Stock Prices," Journal of Finance, American Finance Association, vol. 54(2), pages 581-622, April.
    2. Romer, David, 1993. "Rational Asset-Price Movements without News," American Economic Review, American Economic Association, vol. 83(5), pages 1112-1130, December.
    3. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    4. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    5. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    6. Michael B. Clement & Senyo Y. Tse, 2005. "Financial Analyst Characteristics and Herding Behavior in Forecasting," Journal of Finance, American Finance Association, vol. 60(1), pages 307-341, February.
    7. Welch, Ivo, 2000. "Herding among security analysts," Journal of Financial Economics, Elsevier, vol. 58(3), pages 369-396, December.
    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. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    2. Orihara, Masanori & Eshraghi, Arman, 2022. "Corporate governance compliance and herding," International Review of Financial Analysis, Elsevier, vol. 80(C).
    3. Taufeeq Ajaz & Anoop S. Kumar, 2018. "Herding In Crypto-Currency Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-15, June.
    4. Levis, Mario & Muradoğlu, Yaz Gulnur & Vasileva, Kristina, 2023. "Herding in foreign direct investment," International Review of Financial Analysis, Elsevier, vol. 86(C).
    5. Wang, Peiwen & Chen, Minghua & Wu, Ji & Yan, Yuanyun, 2023. "Do peer effects matter in bank risk? Some cross-country evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 88(C).
    6. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    7. Clarke, Jonathan & Subramanian, Ajay, 2006. "Dynamic forecasting behavior by analysts: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 80(1), pages 81-113, April.
    8. Bizer, Kilian & Meub, Lukas & Proeger, Till & Spiwoks, Markus, 2014. "Strategic coordination in forecasting: An experimental study," University of Göttingen Working Papers in Economics 195, University of Goettingen, Department of Economics.
    9. Cesare Fracassi, 2017. "Corporate Finance Policies and Social Networks," Management Science, INFORMS, vol. 63(8), pages 2420-2438, August.
    10. Li, Wei & Rhee, Ghon & Wang, Steven Shuye, 2017. "Differences in herding: Individual vs. institutional investors," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 174-185.
    11. Arjoon, Vaalmikki & Bhatnagar, Chandra Shekhar, 2017. "Dynamic herding analysis in a frontier market," Research in International Business and Finance, Elsevier, vol. 42(C), pages 496-508.
    12. Sylvain Marsat, 2006. "Does The Consensus Prevail? Experimental Evidence," Working Papers hal-02156562, HAL.
    13. Economou, Fotini & Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Yordanov, Nikolay, 2015. "Do fund managers herd in frontier markets — and why?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 76-87.
    14. Altınkılıç, Oya & Balashov, Vadim S. & Hansen, Robert S., 2019. "Investment bank monitoring and bonding of security analysts’ research," Journal of Accounting and Economics, Elsevier, vol. 67(1), pages 98-119.
    15. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Ferreira, Mario Pedro Leite, 2013. "Institutional industry herding: Intentional or spurious?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 192-214.
    16. Zhi Da & Xing Huang, 2020. "Harnessing the Wisdom of Crowds," Management Science, INFORMS, vol. 66(5), pages 1847-1867, May.
    17. Ali-Rind, Asad & Boubaker, Sabri & Jarjir, Souad Lajili, 2023. "Peer effects in financial economics: A literature survey," Research in International Business and Finance, Elsevier, vol. 64(C).
    18. Van Campenhout, Geert & Verhestraeten, Jan-Francies, 2010. "Herding Behavior among Financial Analysts: a literature review," Working Papers 2010/39, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    19. Wang, Hailong & Hu, Duni, 2021. "Heterogeneous beliefs with herding behaviors and asset pricing in two goods world," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    20. Tan, Lin & Chiang, Thomas C. & Mason, Joseph R. & Nelling, Edward, 2008. "Herding behavior in Chinese stock markets: An examination of A and B shares," Pacific-Basin Finance Journal, Elsevier, vol. 16(1-2), pages 61-77, January.

    More about this item

    Keywords

    herd behavior; social learning theory; information cascades; ARCH/ GARCH Models;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:sek:iacpro:0701697. 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: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    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.