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A Budapest Likviditási Mérték bevezetéséről. A magyar részvények likviditásának összehasonlító elemzése a budapesti, a varsói és a londoni értéktőzsdéken
[Introduction of the Budapest Liquidity Measure]

Author

Listed:
  • Kutas, Gábor
  • Végh, Richárd

Abstract

A világ tőkepiacain zajló koncentrációs folyamat során egyre jobban érezhető a tőzsdék élesedő versenye. Ez megmutatkozik a kibocsátókért, a tőzsdetagokért folytatott versenyfutásban, valamint a kereskedési rendszerek hatékonyságra és rugalmasságra törekvésében. Ezért felértékelődik azoknak a mutatóknak a fontossága, amelyek összehasonlítási alapot nyújtanak a kibocsátók és befektetők számára a tőzsdék, piacok közötti választáshoz. A szerzők kidolgoztak egy mutatószámot, a Budapest Likviditási Mértéket (BLM), amely a tőzsdén kereskedők számára a piac hatékonyságának legfontosabb paraméterét számszerűsíti: a piac likviditását - ez határozza meg a tranzakciók implicit kereskedési költségeit. Magasabb likviditású piacon alacsonyabb költséggel lehet végrehajtani a tranzakciókat. A tanulmány bemutatja a BLM felépítését, számítási módját, összehasonlítja más, a szakirodalomban ismert likviditási mutatószámokkal. A szerzők likviditási méréseiket három különböző tőzsde piacán végzik folyamatosan: a budapesti, a londoni és a varsói értéktőzsdén. Így összehasonlíthatóvá válnak az instrumentumok eredeti és másodlagos piacai, ami elsősorban nemzetközi intézményi befektetők számára segítheti a piacválasztást, és a kibocsátó cégeket is orientálja másodpiaci listázás eredményességét és hozzáadott értékét illetően. A tőzsdék közötti összehasonlítás megmutatta, hogy a kereskedés implicit költségei Budapesten jóval alacsonyabbak, mint a párhuzamos jegyzés helyszínein. A különbség mértékét számítási példák illusztrálják. Journal of Economic Literature (JEL) kód:C81, G11, G14, G24, G29.

Suggested Citation

  • Kutas, Gábor & Végh, Richárd, 2005. "A Budapest Likviditási Mérték bevezetéséről. A magyar részvények likviditásának összehasonlító elemzése a budapesti, a varsói és a londoni értéktőzsdéken [Introduction of the Budapest Liquidity Mea," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 686-711.
    • Handle: RePEc:ksa:szemle:777
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    References listed on IDEAS

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    7. Domowitz, Ian & Glen, Jack & Madhavan, Ananth, 2001. "Liquidity, Volatility and Equity Trading Costs across Countries and over Time," International Finance, Wiley Blackwell, vol. 4(2), pages 221-255, Summer.
    8. Jun Muranaga, 1999. "Dynamics of Market Liquidity of Japanese Stocks: An Analysis of Tick-by-Tick Data of the Tokyo Stock Exchange," CGFS Papers chapters, in: Bank for International Settlements (ed.), Market Liquidity: Research Findings and Selected Policy Implications, volume 11, pages 1-25, Bank for International Settlements.
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    Citations

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    Cited by:

    1. Havran, Dániel & Váradi, Kata, 2016. "A limitáras ajánlatok szerkezete és dinamikája a Budapesti Értéktőzsdén. Az OTP- és a Mol-részvények esete [The structure and dynamics of limit orders on the Budapest stock exchange: The cases of O," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(9), pages 966-992.
    2. Gyarmati, Ákos & Lublóy, Ágnes & Váradi, Kata, 2012. "The Budapest liquidity measure and the price impact function," MPRA Paper 40339, University Library of Munich, Germany.
    3. Havran, Dániel & Erb, Tamás, 2015. "Mit veszítünk a piaci súrlódásokkal?. A pénzügyi piacok mikrostruktúrája [Trading mechanisms and market frictions. Microstructure of the financial markets]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 229-262.

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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

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