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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.

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  • 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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    1. Wood, Robert A & McInish, Thomas H & Ord, J Keith, 1985. "An Investigation of Transactions Data for NYSE Stocks," Journal of Finance, American Finance Association, vol. 40(3), pages 723-739, July.
    2. Berkman, Henk & Koch, Paul D., 2008. "Noise trading and the price formation process," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 232-250, March.
    3. Harrison Hong & Jeremy C. Stein & Jialin Yu, 2007. "Simple Forecasts and Paradigm Shifts," Journal of Finance, American Finance Association, vol. 62(3), pages 1207-1242, June.
    4. Foster, F Douglas & Viswanathan, S, 1993. "Variations in Trading Volume, Return Volatility, and Trading Costs: Evidence on Recent Price Formation Models," Journal of Finance, American Finance Association, vol. 48(1), pages 187-211, March.
    5. Michel Beine & Paul De Grauwe & Marianna Grimaldi, 2014. "The Impact of FX Central Bank Intervention in a Noise Trading Framework," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 6, pages 189-216, World Scientific Publishing Co. Pte. Ltd..
    6. Shleifer, Andrei, 2000. "Inefficient Markets: An Introduction to Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780198292272.
    7. Bauer, Rob & Cosemans, Mathijs & Eichholtz, Piet, 2009. "Option trading and individual investor performance," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 731-746, April.
    8. Madhavan, Ananth & Richardson, Matthew & Roomans, Mark, 1997. "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 1035-1064.
    9. Aktas, Nihat & de Bodt, Eric & Van Oppens, Hervé, 2008. "Legal insider trading and market efficiency," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1379-1392, July.
    10. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    11. Jain, Prem C. & Joh, Gun-Ho, 1988. "The Dependence between Hourly Prices and Trading Volume," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(3), pages 269-283, September.
    12. Ng, Lilian & Wu, Fei, 2007. "The trading behavior of institutions and individuals in Chinese equity markets," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2695-2710, September.
    13. Brock, William A. & Kleidon, Allan W., 1992. "Periodic market closure and trading volume : A model of intraday bids and asks," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 451-489.
    14. Kyle, Albert S & Wang, F Albert, 1997. "Speculation Duopoly with Agreement to Disagree: Can Overconfidence Survive the Market Test?," Journal of Finance, American Finance Association, vol. 52(5), pages 2073-2090, December.
    15. Foster, F. Douglas & Viswanathan, S., 1994. "Strategic Trading with Asymmetrically Informed Traders and Long-Lived Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(4), pages 499-518, December.
    16. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2009. "How Noise Trading Affects Markets: An Experimental Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2275-2302, June.
    17. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    18. Black, Fischer, 1986. "Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-543, July.
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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. 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.
    4. 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.
    5. Piccotti, Louis R., 2020. "Strategic trade when securitized portfolio values are unknown," Journal of Banking & Finance, Elsevier, vol. 115(C).
    6. 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.
    7. 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).
    8. Zhang, Chris H. & Frijns, Bart, 2019. "Noise trading and informational efficiency," EconStor Preprints 198037, ZBW - Leibniz Information Centre for Economics.
    9. 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.
    10. 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.
    11. 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.

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