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Informed arbitrage with speculative noise trading

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  • Albert Wang, F.

Abstract

We consider speculative noise trading when some naïve speculators trade on noise as if it were information [Black, F., 1986. Noise. Journal of Finance 41, 529-543]. We examine the optimal trading strategy of an informed investor who faces such naïve speculators in the market. We find that the informed investor trades aggressively on her information and takes large, opposite positions against the naïve speculators. The trading volume is thereby drastically magnified. While such speculative noise trading enhances liquidity, it makes prices less efficient. The overall dynamic patterns that emerge from our model are most consistent with the evidence for interday variations in volume, volatility, and transaction costs.

Suggested Citation

  • Albert Wang, F., 2010. "Informed arbitrage with speculative noise trading," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 304-313, February.
    • Handle: RePEc:eee:jbfina:v:34:y:2010:i:2:p:304-313
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    Cited by:

    1. Benjamin M. Blau & Ryan J. Whitby, 2014. "Speculative Trading In Reits," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 37(1), pages 55-74, February.
    2. Chen, Carl R. & Diltz, J. David & Huang, Ying & Lung, Peter P., 2011. "Stock and option market divergence in the presence of noisy information," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2001-2020, August.
    3. Sana Saleem & Muhammad Usman & Muhammad Naveed Akhtar, 2023. "Does Private Information Always Hurt Retail Investors? The Impact of Private Information on Cost of Equity: Moderating Role of Investment Adjustment," SAGE Open, , vol. 13(4), pages 21582440231, November.
    4. Yingyi Hu, 2019. "Short-horizon market efficiency, order imbalance, and speculative trading: evidence from the Chinese stock market," Annals of Operations Research, Springer, vol. 281(1), pages 253-274, October.
    5. Zhang, Chris H. & Frijns, Bart, 2019. "Noise trading and informational efficiency," EconStor Preprints 198037, ZBW - Leibniz Information Centre for Economics.
    6. Jiang, Xiaoquan & Zaman, Mir A., 2010. "Aggregate insider trading: Contrarian beliefs or superior information?," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1225-1236, June.
    7. Wei, Jason & Zheng, Jinguo, 2010. "Trading activity and bid-ask spreads of individual equity options," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2897-2916, December.
    8. Haugom, Erik & Ray, Rina, 2017. "Heterogeneous traders, liquidity, and volatility in crude oil futures market," Journal of Commodity Markets, Elsevier, vol. 5(C), pages 36-49.
    9. Piccotti, Louis R., 2020. "Strategic trade when securitized portfolio values are unknown," Journal of Banking & Finance, Elsevier, vol. 115(C).
    10. Zhang, Chris H. & Kalev, Petko S., 2021. "How noise trading affects informational efficiency: Evidence from an order-driven market," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
    11. Grundy, Bruce D. & Li, Hui, 2010. "Investor sentiment, executive compensation, and corporate investment," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2439-2449, October.

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