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Investor sentiment, trading behavior and stock returns

Author

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  • Doojin Ryu
  • Hyeyoen Kim
  • Heejin Yang

Abstract

This article examines how investor sentiment and trading behaviour affect asset returns. By analysing the unique stock trading dataset of the Korean market, we find that high investor sentiment induces higher stock market returns. We also find that institutional (individual) trades are positively (negatively) associated with stock returns, suggesting the information superiority (inferiority) of institutional (individual) investors. Investor sentiment generally plays a more important role in explaining stock market returns than investor trading behaviour.

Suggested Citation

  • Doojin Ryu & Hyeyoen Kim & Heejin Yang, 2017. "Investor sentiment, trading behavior and stock returns," Applied Economics Letters, Taylor & Francis Journals, vol. 24(12), pages 826-830, July.
    • Handle: RePEc:taf:apeclt:v:24:y:2017:i:12:p:826-830
    DOI: 10.1080/13504851.2016.1231890
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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. Doojin Ryu & Jinyoung Yu, 2022. "Sentiment‐dependent impact of funding liquidity shocks on futures market liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(1), pages 61-76, January.
    3. Bouteska, Ahmed, 2019. "The effect of investor sentiment on market reactions to financial earnings restatements: Lessons from the United States," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    4. Yang, Jianlei, 2023. "Financial stabilization policy, market sentiment, and stock market returns," Finance Research Letters, Elsevier, vol. 52(C).
    5. Yongqiang Meng & Dehua Shen & Xiong Xiong & Jørgen Vitting Andersen, 2020. "A Socio-Finance Model: The Case of Bitcoin," Post-Print halshs-03048777, HAL.
    6. Deng, Shangkun & Huang, Xiaoru & Zhu, Yingke & Su, Zhihao & Fu, Zhe & Shimada, Tatsuro, 2023. "Stock index direction forecasting using an explainable eXtreme Gradient Boosting and investor sentiments," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    7. 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.
    8. 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.
    9. Muhammad Safdar Sial & Jacob Cherian & Abdelrhman Meero & Asma Salman & Abdul Aziz Abdul Rahman & Sarminah Samad & Constantin Viorel Negrut, 2022. "Determining Financial Uncertainty through the Dynamics of Sukuk Bonds and Prices in Emerging Market Indices," Risks, MDPI, vol. 10(3), pages 1-13, March.
    10. Liyun Zhou & Chunpeng Yang, 2020. "Investor sentiment, investor crowded-trade behavior, and limited arbitrage in the cross section of stock returns," Empirical Economics, Springer, vol. 59(1), pages 437-460, July.
    11. Phan, Thi Nha Truc & Bertrand, Philippe & Phan, Hong Hai & Vo, Xuan Vinh, 2023. "The role of investor behavior in emerging stock markets: Evidence from Vietnam," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 367-376.
    12. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    13. Heejin Yang & Doowon Ryu, 2021. "Investor Sentiment and Price Discrepancies between Common and Preferred Stocks in Korea," Sustainability, MDPI, vol. 13(10), pages 1-11, May.
    14. Marco Caiffa & Vincenzo Farina & Lucrezia Fattobene, 2020. "All that glitters is not gold: CEOs' celebrity beyond media content," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 444-460, July.
    15. Pedro Manuel Nogueira Reis & Carlos Pinho, 2021. "A Reappraisal of the Causal Relationship between Sentiment Proxies and Stock Returns," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 22(4), pages 420-442, October.
    16. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    17. 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.
    18. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and the stock market response to earnings news," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 221-240.
    19. Gaoshan Wang & Guangjin Yu & Xiaohong Shen, 2020. "The Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach," Complexity, Hindawi, vol. 2020, pages 1-11, December.
    20. Yang, Heejin & Ahn, Hee-Joon & Kim, Maria H. & Ryu, Doojin, 2017. "Information asymmetry and investor trading behavior around bond rating change announcements," Emerging Markets Review, Elsevier, vol. 32(C), pages 38-51.
    21. Zhou, Liyun & Yang, Chunpeng, 2019. "Stochastic investor sentiment, crowdedness and deviation of asset prices from fundamentals," Economic Modelling, Elsevier, vol. 79(C), pages 130-140.
    22. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2021. "Stock Market’s responses to intraday investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    23. Kim, Karam & Ryu, Doojin & Yang, Heejin, 2021. "Information uncertainty, investor sentiment, and analyst reports," International Review of Financial Analysis, Elsevier, vol. 77(C).
    24. Lee, Jieun & Ryu, Doojin, 2019. "How does FX liquidity affect the relationship between foreign ownership and stock liquidity?," Emerging Markets Review, Elsevier, vol. 39(C), pages 101-119.
    25. Herrera, Gabriel Paes & Constantino, Michel & Su, Jen-Je & Naranpanawa, Athula, 2022. "Renewable energy stocks forecast using Twitter investor sentiment and deep learning," Energy Economics, Elsevier, vol. 114(C).

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