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What types of investors generate the two-phase phenomenon?

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  • Ryu, Doojin

Abstract

We examine the two-phase phenomenon described by Plerou, Gopikrishnan, and Stanley (2003) [1] in the KOSPI 200 options market, one of the most liquid options markets in the world. By analysing a unique intraday dataset that contains information about investor type for each trade and quote, we find that the two-phase phenomenon is generated primarily by domestic individual investors, who are generally considered to be uninformed and noisy traders. In contrast, our empirical results indicate that trades by foreign institutions, who are generally considered informed and sophisticated investors, do not exhibit two-phase behaviour.

Suggested Citation

  • Ryu, Doojin, 2013. "What types of investors generate the two-phase phenomenon?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(23), pages 5939-5946.
    • Handle: RePEc:eee:phsmap:v:392:y:2013:i:23:p:5939-5946
    DOI: 10.1016/j.physa.2013.07.053
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    References listed on IDEAS

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    1. Doojin Ryu, 2012. "The effectiveness of the order-splitting strategy: an analysis of unique data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 541-549, April.
    2. Vasiliki Plerou & Parameswaran Gopikrishnan & H. Eugene Stanley, 2003. "Two-phase behaviour of financial markets," Nature, Nature, vol. 421(6919), pages 130-130, January.
    3. Doojin Ryu, 2013. "Spread and depth adjustment process: an analysis of high-quality microstructure data," Applied Economics Letters, Taylor & Francis Journals, vol. 20(16), pages 1506-1510, November.
    4. Lim, Gyuchang & Yong Kim, Soo & Kim, Kyungsik & Lee, Dong-In & Park, Sang-Bum, 2007. "Dynamical mechanism of two-phase phenomena in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 386(1), pages 253-258.
    5. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
    6. Kim, Min Jae & Lee, Ja Eun & Kim, Soo Yong & Kim, Kyungsik, 2010. "Two-phase phenomenon in linear and non-linear financial instruments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(13), pages 2580-2585.
    7. Jangkoo Kang & Doojin Ryu, 2010. "Which Trades Move Asset Prices? An Analysis of Futures Trading Data," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 46(0), pages 7-22, May.
    8. Doojin Ryu, 2012. "Implied Volatility Index of KOSPI200: Information Contents and Properties," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 24-39, July.
    9. Hyeyoen Kim & Doojin Ryu, 2012. "Which trader's order-splitting strategy is effective? The case of an index options market," Applied Economics Letters, Taylor & Francis Journals, vol. 19(17), pages 1683-1692.
    10. Lee, Bong Soo & Ryu, Doojin, 2013. "Stock returns and implied volatility: A new VAR approach," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 7, pages 1-20.
    11. Hwang, Keunho & Kang, Jangkoo & Ryu, Doojin, 2010. "Phase-transition behavior in the emerging market: Evidence from the KOSPI200 futures market," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 35-46, January.
    12. Biao Guo & Qian Han & Doojin Ryu, 2013. "Is the KOSPI 200 Options Market Efficient? Parametric and Nonparametric Tests of the Martingale Restriction," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(7), pages 629-652, July.
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    Cited by:

    1. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    2. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019. "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 156-166.
    3. Sang Ik Seok & Hoon Cho & Chanhi Park & Doojin Ryu, 2019. "Do Overnight Returns Truly Measure Firm-Specific Investor Sentiment in the KOSPI Market?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    4. Kim, Jungmu & Park, Yuen Jung & Ryu, Doojin, 2018. "Testing CEV stochastic volatility models using implied volatility index data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 224-232.
    5. Kang, Bo Soo & Park, Chanhi & Ryu, Doojin & Song, Wonho, 2015. "Phase transition phenomenon: A compound measure analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 383-395.
    6. Kim, Jun Sik & Ryu, Doojin, 2014. "Intraday price dynamics in spot and derivatives markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 247-253.
    7. Lee, Jaeram & Ryu, Doojin & Yang, Heejin, 2021. "Does vega-neutral options trading contain information?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 294-314.
    8. Karam KIM & Doojin RYU, 2020. "Predictive ability of investor sentiment for the stock market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 33-46, December.
    9. Song, Wonho & Park, Sung Y. & Ryu, Doojin, 2018. "Dynamic conditional relationships between developed and emerging markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 534-543.
    10. Park, Daehyeon & Ryu, Doojin & Webb, Robert I., 2024. "Fear of missing out and market stability: A networked minority game approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).
    11. Park, Sung Y. & Ryu, Doojin & Song, Jeongseok, 2017. "The dynamic conditional relationship between stock market returns and implied volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 638-648.
    12. Jung Park, Yuen & Kutan, Ali M. & Ryu, Doojin, 2019. "The impacts of overseas market shocks on the CDS-option basis," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 622-636.
    13. Daehyeon PARK & Doojin RYU, 2021. "Forecasting Stock Market Dynamics using Bidirectional Long Short-Term Memory," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 22-34, June.
    14. Kang, Bo Soo & Ryu, Doojin & Ryu, Doowon, 2014. "Phase-shifting behaviour revisited: An alternative measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 167-173.

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