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Social sentiment and exchange-specific liquidity at a Eurasian stock exchange outside of US market hours

Author

Listed:
  • Tamara Teplova

    (National Research University Higher School of Economics, Russian Federation/HSE University)

  • Mariya Gubareva

    (Universidade de Lisboa)

  • Nikolai Kudriavtsev

    (National Research University Higher School of Economics, Russian Federation/HSE University)

Abstract

We perform a neural network analysis of the impact of Russian retail investors´ sentiment on the stock price behavior of well-known American companies. We study American stocks in a situation of a time-segmentation of the stock market. A special feature of our analysis is the separate time trading mode, when trading is active at the SPB (formerly St. Petersburg) exchange and inactive at the US stock exchanges. Building on the unique local exchange data and original technique for constructing a neural network to identify the sentiment of messages from several Internet forums, we uncover the existence of behavioral anomalies in a non-English-speaking emerging market and analyze sentiment and attention metrics in social networks. We construct several sentiment metrics based on AI text analysis and use panel regression to identify their statistical significance under the selected hypotheses. The impact of sentiment is examined across the entire sample of US companies available to investors on the SPB exchange and a separate zooming is made at the top 10, 25, 50, and 100 stocks that are under special interest manifested by volume of discussions and trading volume. We also analyze the impact of sentiment on price reaction for individual popular stocks and by industry. We find that retail investors’ sentiment exercises a statistically significant influence on price spikes. The stocks, most sensitive to sentiment, are healthcare and high tech.

Suggested Citation

  • Tamara Teplova & Mariya Gubareva & Nikolai Kudriavtsev, 2023. "Social sentiment and exchange-specific liquidity at a Eurasian stock exchange outside of US market hours," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 753-802, December.
  • Handle: RePEc:spr:eurase:v:13:y:2023:i:3:d:10.1007_s40822-023-00245-9
    DOI: 10.1007/s40822-023-00245-9
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    References listed on IDEAS

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    1. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    3. Umar, Zaghum & Gubareva, Mariya & Yousaf, Imran & Ali, Shoaib, 2021. "A tale of company fundamentals vs sentiment driven pricing: The case of GameStop," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    4. Banerjee, Snehal & Green, Brett, 2015. "Signal or noise? Uncertainty and learning about whether other traders are informed," Journal of Financial Economics, Elsevier, vol. 117(2), pages 398-423.
    5. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).
    6. Paul C. Tetlock & Maytal Saar‐Tsechansky & Sofus Macskassy, 2008. "More Than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, American Finance Association, vol. 63(3), pages 1437-1467, June.
    7. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "EU sectoral stocks amid geopolitical risk, market sentiment, and crude oil implied volatility: An asymmetric analysis of the Russia-Ukraine tensions," Resources Policy, Elsevier, vol. 82(C).
    8. Teplova, Tamara & Tomtosov, Aleksandr, 2021. "Can high trading volume and volatility switch boost momentum to show greater inefficiency and avoid crashes in emerging markets? The economic relationship in factor investing in emerging markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 210-223.
    9. Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2016. "Macro news and stock returns in the Euro area: A VAR-GARCH-in-mean analysis," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 180-188.
    10. Ivković, Zoran & Sialm, Clemens & Weisbenner, Scott, 2008. "Portfolio Concentration and the Performance of Individual Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 43(3), pages 613-655, September.
    11. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    12. Mansoor Afzali & Minna Martikainen, 2021. "Network centrality and value relevance of insider trading: Evidence from Europe," The Financial Review, Eastern Finance Association, vol. 56(4), pages 793-819, November.
    13. Ghosh, Bikramaditya & Pham, Linh & Gubareva, Mariya & Teplova, Tamara, 2023. "Energy transition metals and global sentiment: Evidence from extreme quantiles," Resources Policy, Elsevier, vol. 86(PA).
    14. Ahmed Bossman & Mariya Gubareva & Tamara Teplova, 2023. "Economic policy uncertainty, geopolitical risk, market sentiment, and regional stocks: asymmetric analyses of the EU sectors," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 321-372, December.
    15. Giannini, Robert & Irvine, Paul & Shu, Tao, 2019. "The convergence and divergence of investors' opinions around earnings news: Evidence from a social network," Journal of Financial Markets, Elsevier, vol. 42(C), pages 94-120.
    16. Mensi, Walid & Gubareva, Mariya & Teplova, Tamara & Kang, Sang Hoon, 2023. "Spillover and connectedness among G7 real estate investment trusts: The effects of investor sentiment and global factors," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    17. Kumar, Sanjeev & Patel, Ritesh & Iqbal, Najaf & Gubareva, Mariya, 2023. "Interconnectivity among cryptocurrencies, NFTs, and DeFi: Evidence from the Russia-Ukraine conflict," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    18. Gubareva, Mariya, 2021. "The impact of Covid-19 on liquidity of emerging market bonds," Finance Research Letters, Elsevier, vol. 41(C).
    19. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
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