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Price Formation around Dividend Announcement Date: Empirical Evidence in Indonesian Stock Exchange

Author

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  • Budi Frensidy
  • Irene Josephine
  • Ignatius Roni Setyawan

Abstract

Purpose: This research aims to prove that there is a change in abnormal return around the dividend announcement date. Based on differences in the interests of rational and irrational investors related to the dividend announcement and subsequent event, the authors propose two research questions: first, whether there is an abnormal return around the dividend announcement date; second, whether price changes around that event. Design/Methodology/Approach: The time span of the study was five days before and five days after the announcement date of 15 companies which announced dividends from 2007-2012. To answer the first question, we used the t-test and to answer the second question, we employ the coefficient of multiple regression equations, namely the bid and ask price. Findings: The results of this study indicate significant abnormal returns around the dividend announcement date. The price formation is not influenced by dividend announcement, but it was influenced by the demand and the bid prices which implies that there is an effort of investors to maximize capital gains by selling and buying certain stocks. Practical Implications: Dividend announcement date still contains information for investors, because the possibility of surprise factor has been reduced. Investors have already received the rumors about the dividend announcement date and the event has received financial reports, which may have been used by investors in predicting the stock price. Originality/Value: Our study is the first to link bid and ask price to the price formation process before and after the dividend announcement date. The results of this test have answered the question that there are price changes during the dividend distribution event for testing individual levels of the company.

Suggested Citation

  • Budi Frensidy & Irene Josephine & Ignatius Roni Setyawan, 2019. "Price Formation around Dividend Announcement Date: Empirical Evidence in Indonesian Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 106-118.
  • Handle: RePEc:ers:journl:v:xxii:y:2019:i:3:p:106-118
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    References listed on IDEAS

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    1. Eleftherios I. Thalassinos & Mike P. Hanias & Panayiotis G. Curtis & John E. Thalassinos, 2013. "Forecasting Financial Indices: The Baltic Dry Indices," International Journal of Maritime, Trade & Economic Issues (IJMTEI), International Journal of Maritime, Trade & Economic Issues (IJMTEI), vol. 0(1), pages 109-130.
    2. Muhammad Akbar & Humayun Habib Baig, 2010. "Reaction of Stock Prices to Dividend Announcements and Market Efficiency in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(1), pages 103-125, Jan-Jun.
    3. Yi Liu & Samuel H. Szewczyk & Zaher Zantout, 2008. "Underreaction to Dividend Reductions and Omissions?," Journal of Finance, American Finance Association, vol. 63(2), pages 987-1020, April.
    4. John Capstaff & Audun Klæboe & Andrew P. Marshall, 2004. "Share Price Reaction to Dividend Announcements: Empirical Evidence on the Signaling Model from the Oslo Stock Exchange," Multinational Finance Journal, Multinational Finance Journal, vol. 8(1-2), pages 115-139, March-Jun.
    5. Eleftherios I. Thalassinos & Mike P. Hanias & Panayiotis G. Curtis & Yannis E. Thalassinos, 2009. "Chaos theory: forecasting the freight rate of an oil tanker," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 1(1), pages 76-88.
    6. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    7. Dasilas, Apostolos & Leventis, Stergios, 2011. "Stock market reaction to dividend announcements: Evidence from the Greek stock market," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 302-311, April.
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    Cited by:

    1. Robiyanto Robiyanto & Fanny Yunitaria, 2022. "Dividend announcement effect analysis before and during the COVID-19 pandemic in the Indonesia Stock Exchange," SN Business & Economics, Springer, vol. 2(2), pages 1-20, February.

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    More about this item

    Keywords

    Cum date; event study; abnormal return; price; ask price; bid price.;
    All these keywords.

    JEL classification:

    • G30 - Financial Economics - - Corporate Finance and Governance - - - General
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

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