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A new PIN model with application of the change-point detection method

Author

Listed:
  • Chu-Lan Michael Kao

    (National Yang Ming Chiao-Tung University)

  • Emily Lin

    (St. John’s University)

Abstract

The existing PIN models impose a restriction on the number of possible intensity pairs. However, our investigation shows that the number of empirical intensity pairs is significantly more than the one these models assume, and this number changes daily. Therefore, we propose a new model which, by using the change-point detection technique, can adjust this number according to the data. The model also considers autocorrelation, which is lacking in the existing PIN models. In addition, we show that the proposed model can examine how public information transfers to individual stock price and quantify transfer delay.

Suggested Citation

  • Chu-Lan Michael Kao & Emily Lin, 2023. "A new PIN model with application of the change-point detection method," Review of Quantitative Finance and Accounting, Springer, vol. 61(4), pages 1513-1528, November.
    • Handle: RePEc:kap:rqfnac:v:61:y:2023:i:4:d:10.1007_s11156-023-01194-9
    DOI: 10.1007/s11156-023-01194-9
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    References listed on IDEAS

    as
    1. Tao Chen, 2022. "Delayed informed trades and opinion divergence: Evidence from earnings releases," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4556-4574, October.
    2. Easley, David & Hvidkjaer, Soeren & O’Hara, Maureen, 2010. "Factoring Information into Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 293-309, April.
    3. Lai, Sandy & Ng, Lilian & Zhang, Bohui, 2014. "Does PIN affect equity prices around the world?," Journal of Financial Economics, Elsevier, vol. 114(1), pages 178-195.
    4. Anthony Tay & Christopher Ting & Yiu Kuen Tse & Mitch Warachka, 2009. "Using High-Frequency Transaction Data to Estimate the Probability of Informed Trading," Journal of Financial Econometrics, Oxford University Press, vol. 7(3), pages 288-311, Summer.
    5. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    6. Quan Gan & Wang Chun Wei & David Johnstone, 2015. "A faster estimation method for the probability of informed trading using hierarchical agglomerative clustering," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1805-1821, November.
    7. Chao Du & Chu-Lan Michael Kao & S. C. Kou, 2016. "Stepwise Signal Extraction via Marginal Likelihood," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 314-330, March.
    8. Yan, Yuxing & Zhang, Shaojun, 2012. "An improved estimation method and empirical properties of the probability of informed trading," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 454-467.
    9. Guanming He & Helen Mengbing Ren & Richard Taffler, 2022. "Do enhanced derivative disclosures work? An informational perspective," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 24-60, January.
    10. William Lin, Hsiou-Wei & Ke, Wen-Chyan, 2011. "A computing bias in estimating the probability of informed trading," Journal of Financial Markets, Elsevier, vol. 14(4), pages 625-640, November.
    11. Easley, David, et al, 1996. "Liquidity, Information, and Infrequently Traded Stocks," Journal of Finance, American Finance Association, vol. 51(4), pages 1405-1436, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Probability of informed trading (PIN); Change-point detection technique; Information transfer delay;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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