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The Impact of Official Publication of Information in Tehran Stock Exchange on Shares Prices: A GMM Approach

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Listed:
  • Eltejaei , Ebrahim

    (Faculty of Economics and Management, Institute for Humanities and Cultural Studies, Tehran, Iran)

  • Ghasemzadeh, Meysam

    (Institute for Humanities and Cultural Studies, Tehran, Iran)

Abstract

Released information in stock markets plays an important role in making decisions by agents like brokers, investors and other market activists. Rational decision-making in these markets will be possible if relevant and significant information is being released on-time. Otherwise, transparency and equality in the market is compromised. This study aims to respond to the question of whether officially released information about major increase in Predicted Earnings per Share (PEPS) in Tehran Stock Exchange (TSE) is significant and affects the growth of shares prices. For this purpose, we selected 30 official announcements of significant increases in PEPS for 30 companies from early 2012 to early 2015. This sample gathered from a set of over 2000 announcements. Findings of a Dynamic Panel Data model based on Arbitrage Pricing Theory (APT) and Generalized Method of Moments (GMM) estimation method show that official release of information has no significant effect on shares prices. It means that the information maybe has affected the prices before its official publication, so, it is needed to prepare good conditions for information to be released on time and effectively in TSE.

Suggested Citation

  • Eltejaei , Ebrahim & Ghasemzadeh, Meysam, 2016. "The Impact of Official Publication of Information in Tehran Stock Exchange on Shares Prices: A GMM Approach," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 11(2), pages 193-205, April.
    • Handle: RePEc:mbr:jmonec:v:11:y:2016:i:2:p:193-205
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Official Publication of Information; Tehran Stock Exchange; APT; Dynamic Panel Data Model; GMM;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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