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Imperfect Information and Cross-Autocorrelation among Stock Prices

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  • Chan, Kalok

Abstract

The author develops a model to explain why stock returns are positively cross-autocorrelated. When marketmakers observe noisy signals about the value of their stocks but cannot instantaneously condition prices on the signals of other stocks, which contain marketwide information, the pricing error of one stock is correlated with the other signals. As marketmakers adjust prices after observing true values or previous price changes of other stocks, stock returns become positively cross-autocorrelated. If the signal quality differs among stocks, the cross-autocorrelation pattern is asymmetric. The author shows that both own- and cross-autocorrelations are higher when market movements are larger. Copyright 1993 by American Finance Association.

Suggested Citation

  • Chan, Kalok, 1993. " Imperfect Information and Cross-Autocorrelation among Stock Prices," Journal of Finance, American Finance Association, vol. 48(4), pages 1211-1230, September.
  • Handle: RePEc:bla:jfinan:v:48:y:1993:i:4:p:1211-30
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    Cited by:

    1. Ezatollah Abbasian & Vahid Abbasion & Mehdi Moradpour Oladi, 2008. "Interactions of returns and volatilities among different sizes of stocks: a Survey in Tehran Stock Exchange," Iranian Economic Review, Economics faculty of Tehran university, vol. 13(1), pages 1-16, spring.
    2. Paolo Pasquariello & Clara Vega, 2015. "Strategic Cross-Trading in the U.S. Stock Market," Review of Finance, European Finance Association, vol. 19(1), pages 229-282.
    3. Masahiro Watanabe, 2003. "A Model of Stochastic Liquidity," Yale School of Management Working Papers ysm385, Yale School of Management.
    4. Stanislaus Maier-Paape & Andreas Platen, 2015. "Lead-Lag Relationship using a Stop-and-Reverse-MinMax Process," Papers 1504.06235, arXiv.org.
    5. Stanislaus Maier-Paape & Andreas Platen, 2016. "Lead–Lag Relationship Using a Stop-and-Reverse-MinMax Process," Risks, MDPI, Open Access Journal, vol. 4(3), pages 1-20, July.
    6. Robert A. Connolly & Christopher T. Stivers, 2000. "Evidence on the Economics of Equity Return Volatility Clustering," Econometric Society World Congress 2000 Contributed Papers 1575, Econometric Society.
    7. Rui Albuquerque & Gregory Bauer & Martin Schneider, 2004. "Characterizing Asymmetric Information in International Equity Markets," International Finance 0405005, EconWPA.
    8. Albuquerque, Rui & H. Bauer, Gregory & Schneider, Martin, 2009. "Global private information in international equity markets," Journal of Financial Economics, Elsevier, vol. 94(1), pages 18-46, October.
    9. Cho, Jin-Wan & Shin, Jhinyoung & Singh, Rajdeep, 2004. "The generality of spurious predictability," Finance Research Letters, Elsevier, vol. 1(4), pages 203-214, December.
    10. Rui Albuquerque & Eva De Francisco & Luis B. Marques, 2008. "Marketwide Private Information in Stocks: Forecasting Currency Returns," Journal of Finance, American Finance Association, vol. 63(5), pages 2297-2343, October.
    11. Tarun Chordia & Asani Sarkar & Avanidhar Subrahmanyam, 2005. "The joint dynamics of liquidity, returns, and volatility across small and large firms," Staff Reports 207, Federal Reserve Bank of New York.
    12. Säfvenblad, Patrik, 1997. "On the Damodaran Estimator of Price Adjustment Coefficients," SSE/EFI Working Paper Series in Economics and Finance 208, Stockholm School of Economics.
    13. Drakos, Anastassios A., 2016. "Does the relationship between small and large portfolios’ returns confirm the lead–lag effect? Evidence from the Athens Stock Exchange," Research in International Business and Finance, Elsevier, vol. 36(C), pages 546-561.
    14. Gregory H. Bauer & Clara Vega, 2004. "The Monetary Origins of Asymmetric Information in International Equity Markets," Staff Working Papers 04-47, Bank of Canada.
    15. David R. Peterson, 1996. "The Negative Relation Between Daily Index Return Serial Correlations And Conditional Variances: Does It Have Mathematical Or Economic Origins?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 19(3), pages 429-442, September.
    16. Majumder, Debasish, 2013. "Towards an efficient stock market: Empirical evidence from the Indian market," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 572-587.
    17. Kristjanpoller Rodríguez Werner, 2013. "Anomalías en la autocorrelación de rendimientos y la importancia de los periodos de no transacción en mercados latinoamericanos," Contaduría y Administración, Accounting and Management, vol. 58(1), pages 37-62, enero-mar.
    18. Anderson, Robert M. & Eom, Kyong Shik & Hahn, Sang Buhm & Park, Jong-Ho, 2013. "Autocorrelation and partial price adjustment," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 78-93.
    19. Minho Kim & Andrew C. Szakmary & Thomas V. Schwarz, 1999. "Trading costs and price discovery across stock index futures and cash markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(4), pages 475-498, June.
    20. Joel Hasbrouck & Duane J. Seppi, 1998. "Common Factors in Prices, Order Flows and Liquidity," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-011, New York University, Leonard N. Stern School of Business-.
    21. Gębka, Bartosz & Wohar, Mark E., 2013. "The determinants of quantile autocorrelations: Evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 29(C), pages 51-61.
    22. Kinnunen, Jyri, 2017. "Dynamic cross-autocorrelation in stock returns," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 162-173.
    23. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2015. "Behaviour of Stock Return Autocorrelation in the GCC Stock Markets," Global Business Review, International Management Institute, vol. 16(5), pages 737-746, October.
    24. Chang, Charles & Lin, Emily, 2015. "Cash-futures basis and the impact of market maturity, informed trading, and expiration effects," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 197-213.
    25. Daxue Wang, 2006. "Cross-Autocorrelation of Dual-Listed Stock Portfolio Returns: Evidence from the Chinese Stock Market," Computing in Economics and Finance 2006 182, Society for Computational Economics.

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