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Liquidity Dynamics and Cross-Autocorrelations

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  • Chordia, Tarun
  • Sarkar, Asani
  • Subrahmanyam, Avanidhar

Abstract

This paper examines the relation between information transmission and cross-autocorrelations. We present a simple model, where informed trading is transmitted from large to small stocks with a lag. In equilibrium, large stock illiquidity induced by informed trading portends stronger cross-autocorrelations. Empirically, we find that the lead-lag relation increases with lagged large stock illiquidity. Further, the lead from large stock order flows to small stock returns is stronger when large stock spreads are higher. In addition, this lead-lag relation is stronger before macro announcements (when information-based trading is more likely) and weaker afterward (when information asymmetries are lower).

Suggested Citation

  • Chordia, Tarun & Sarkar, Asani & Subrahmanyam, Avanidhar, 2011. "Liquidity Dynamics and Cross-Autocorrelations," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(3), pages 709-736, June.
    • Handle: RePEc:cup:jfinqa:v:46:y:2011:i:03:p:709-736_00
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    Cited by:

    1. Marsch, I. & Wagner, W.B., 2012. "Why is Price Discovery in Credit Default Swap Markets News-Specific?," Discussion Paper 2012-006, Tilburg University, Center for Economic Research.
    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. Takaki Hayashi & Yuta Koike, 2017. "No arbitrage and lead-lag relationships," Papers 1712.09854, arXiv.org.
    4. Gerig, Austin & Michayluk, David, 2017. "Automated liquidity provision," Pacific-Basin Finance Journal, Elsevier, vol. 45(C), pages 1-13.
    5. Nyborg, Kjell G. & Östberg, Per, 2014. "Money and liquidity in financial markets," Journal of Financial Economics, Elsevier, vol. 112(1), pages 30-52.
    6. Gao, George P. & Moulton, Pamela C. & Ng, David T., 2017. "Institutional ownership and return predictability across economically unrelated stocks," Journal of Financial Intermediation, Elsevier, vol. 31(C), pages 45-63.
    7. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2013. "Exchange Traded Funds, Size-Based Portfolios, And Market Efficiency," Working Papers 0214fin, College of Business, University of Texas at San Antonio.
    8. Thomas Conlon & John Cotter & Ramazan Gençay, 2015. "Long-run international diversification," Working Papers 201502, Geary Institute, University College Dublin.
    9. Conlon, Thomas & Cotter, John & Gençay, Ramazan, 2018. "Long-run wavelet-based correlation for financial time series," European Journal of Operational Research, Elsevier, vol. 271(2), pages 676-696.
    10. Das, Sanjiv & Kalimipalli, Madhu & Nayak, Subhankar, 2014. "Did CDS trading improve the market for corporate bonds?," Journal of Financial Economics, Elsevier, vol. 111(2), pages 495-525.
    11. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    12. Hayashi, Takaki & Koike, Yuta, 2019. "No arbitrage and lead–lag relationships," Statistics & Probability Letters, Elsevier, vol. 154(C), pages 1-1.
    13. Mohammed S. Khaled & Stephen P. Keef, 2014. "On the dynamics of international stock market efficiency," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-11, December.

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