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Does PIN measure information? Informed trading effects on returns and liquidity in six emerging markets

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  • Agudelo, Diego A.
  • Giraldo, Santiago
  • Villarraga, Edwin

Abstract

Market microstructure models imply that informed trading reduces liquidity and moves prices in the direction of the information. We test this implication using the dynamic PIN model (Easley, Engle, O'Hara and Wu 2008) as a time-varying measure of informed trading in the six largest Latin America stock markets. Under alternative specifications and robustness tests, the results suggest that signed dynamic PIN is related to returns, as a proxy for information asymmetry rather than just liquidity effects. These results contribute to the ongoing discussion on whether PIN is a valid informed trading measure, and to a better understanding of price formation in emerging markets.

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  • Agudelo, Diego A. & Giraldo, Santiago & Villarraga, Edwin, 2015. "Does PIN measure information? Informed trading effects on returns and liquidity in six emerging markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 149-161.
    • Handle: RePEc:eee:reveco:v:39:y:2015:i:c:p:149-161
    DOI: 10.1016/j.iref.2015.04.002
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    Cited by:

    1. Ignacio Arango & Diego A. Agudelo, 2017. "How does information disclosure affect liquidity?Evidence from an Emerging Market," Documentos de Trabajo de Valor Público 16990, Universidad EAFIT.
    2. Pham, Son Duy & Nguyen, Thao Thac Thanh & Do, Hung Xuan, 2022. "Effect of futures trading on the liquidity of underlying stocks: Evidence from Vietnam," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    3. Diego A. Agudelo & Ignacio Arango, 2017. "How does information disclosure affect liquidity? Evidence from an Emerging Market," Documentos de Trabajo de Valor Público 16944, Universidad EAFIT.
    4. Butt, Hilal Anwar & Demirer, Riza & Sadaqat, Mohsin & Suleman, Muhammad Tahir, 2022. "Do emerging stock markets offer an illiquidity premium for local or global investors?," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 502-515.
    5. Arango, Ignacio & Agudelo, Diego A., 2019. "How does information disclosure affect liquidity? Evidence from an emerging market," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    6. Agudelo, Diego A. & Byder, James & Yepes-Henao, Paula, 2019. "Performance and informed trading. Comparing foreigners, institutions and individuals in an emerging stock market," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 187-203.
    7. Zhao, Wandi & Gao, Yang, 2023. "Network connectedness and the contagion structure of informed trading: Evidence from the time and frequency domains," International Review of Financial Analysis, Elsevier, vol. 90(C).
    8. Marzagão, Thiago, 2021. "Insider trading in Brazil's stock market," OSF Preprints fu9mg, Center for Open Science.
    9. Tom Berglund, 2020. "Liquidity and Corporate Governance," JRFM, MDPI, vol. 13(3), pages 1-9, March.
    10. Hong-Hai Ho & Thi-Hanh Vu & Ngoc-Tien Dao & Manh-Tung Ho & Quan-Hoang Vuong, 2019. "When the Poor Buy the Rich: New Evidence on Wealth Effects of Cross-Border Acquisitions," JRFM, MDPI, vol. 12(2), pages 1-15, June.
    11. Cosmin Octavian Cepoi & Victor Dragotă & Ruxandra Trifan & Andreea Iordache, 2023. "Probability of informed trading during the COVID-19 pandemic: the case of the Romanian stock market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.

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    More about this item

    Keywords

    Informed trading; Liquidity; PIN; Emerging markets; Market microstructure;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G19 - Financial Economics - - General Financial Markets - - - Other

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