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The trading behavior and price impact of foreign, institutional, individual investors and government: Evidence from Korean equity market

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  • Hong, Gwangheon
  • Lee, Bong Soo

Abstract

We examine the dynamic relation between stock returns and four types of investment flows using Korean daily data for the period 1998–2010, focusing on the investment/trading behavior of four types of investors – individual, institutional, government, and foreign – and the effect of cross-border investment flows on the Korean equity market. We find that, first, foreigners and institutional investors tend to drive the Korean equity market, and their trades seem to be information-driven, whereas individual investors do not drive the Korean equity market and their trades do not seem to be information-driven. Second, as a result, both foreigners and institutional investors performed well in the sample period, whereas individual investors performed poorly. Third, the four types of investors differ in their trading behavior. In response to U.S. market returns, foreigners and institutional investors tend to take a momentum strategy whereas individual investors and government tend to take a contrarian strategy.

Suggested Citation

  • Hong, Gwangheon & Lee, Bong Soo, 2011. "The trading behavior and price impact of foreign, institutional, individual investors and government: Evidence from Korean equity market," Japan and the World Economy, Elsevier, vol. 23(4), pages 273-287.
    • Handle: RePEc:eee:japwor:v:23:y:2011:i:4:p:273-287
    DOI: 10.1016/j.japwor.2011.10.002
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    Cited by:

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    2. Kim, Sei-Wan & Lee, Bong-Soo & Kim, Young-Min, 2014. "Who mimics whom in the equity fund market? Evidence from the Korean equity fund market," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 199-218.
    3. Park, Keun Woo & Hong, Dahae & Oh, Ji Yeol Jimmy, 2019. "Investor behavior around monetary policy announcements: Evidence from the Korean stock market," Finance Research Letters, Elsevier, vol. 28(C), pages 355-362.
    4. Jungmu Kim & Youngkyung Ok & Yuen Jung Park, 2020. "Institutional Investors’ Trading Response to Stock Market Anomalies: Evidence from Korea," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    5. Lee, Jong Hwa & Sung, Taeyoon & Seo, Sung Won, 2022. "Investor sentiment, credit rating, and stock returns," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 1076-1092.
    6. Ros Zam Zam Sapian & Jing Quan Lee, 2018. "Return, Volatility and Equity Fund Flows Linkages: Evidence from an Emerging Market," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 8(7), pages 172-186, July.
    7. Ros Zam Zam Sapian & Noor Azryani Auzairy, 2015. "Foreign Equity Flows and Market Return Linkages: Evidence of Malaysian Stock Market," Global Business Review, International Management Institute, vol. 16(5_suppl), pages 1-14, October.
    8. Kim, Myeong Hyeon & Kim, Young Min & Yang, Kisung, 2022. "Understanding BOXPI — Industry portfolio perspectives," Journal of Asian Economics, Elsevier, vol. 81(C).
    9. Ahmed, Walid M.A., 2017. "The impact of foreign equity flows on market volatility during politically tranquil and turbulent times: The Egyptian experience," Research in International Business and Finance, Elsevier, vol. 40(C), pages 61-77.
    10. Boubekeur Baba & Güven Sevil, 2021. "Bayesian analysis of time-varying interactions between stock returns and foreign equity flows," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-25, December.
    11. Ping-Hung Chou & Pei-Shan Wu & Teng-Tsai Tu, 2014. "The Impact of Trader Behavior on Options Price Volatility," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 503-516, April.

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    More about this item

    Keywords

    Stock returns; Investment fund flows; Cross-border investment; VAR;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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