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The Cross‐Autocorrelation Of Size‐Based Portfolio Returns Is Not An Artifact Of Portfolio Autocorrelation

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  • Terry Richardson
  • David R. Peterson

Abstract

Prior studies find evidence of asymmetric size‐based portfolio return cross‐autocorrelations where lagged large firm returns lead current small firm returns. However, some studies question whether this economic relation is independent of the effect of portfolio return autocorrelation. We formally test for this independence using size‐based portfolios of New York Stock Exchange and American Stock Exchange securities and, separately, portfolios of Nasdaq securities. Results from causality regressions indicate that, across all markets, lagged large firm returns predict current small firm returns, even after controlling for autocorrelation in small firm returns. These cross‐autocorrelation patterns are stronger for Nasdaq securities.

Suggested Citation

  • Terry Richardson & David R. Peterson, 1999. "The Cross‐Autocorrelation Of Size‐Based Portfolio Returns Is Not An Artifact Of Portfolio Autocorrelation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 22(1), pages 1-13, March.
  • Handle: RePEc:bla:jfnres:v:22:y:1999:i:1:p:1-13
    DOI: 10.1111/j.1475-6803.1999.tb00711.x
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    Cited by:

    1. Chang, Eric C. & McQueen, Grant R. & Pinegar, J. Michael, 1999. "Cross-autocorrelation in Asian stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 7(5), pages 471-493, December.
    2. Yu, Chih-Hsien & Wu, Chunchi, 2001. "Economic sources of asymmetric cross-correlation among stock returns," International Review of Economics & Finance, Elsevier, vol. 10(1), pages 19-40.
    3. Aityan, Sergey K. & Ivanov-Schitz, Alexey K. & Izotov, Sergey S., 2010. "Time-shift asymmetric correlation analysis of global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 590-605, December.
    4. Cem Cakmakli & Richard Paap & Dick J.C. van Dijk, 2011. "Modeling and Estimation of Synchronization in Multistate Markov-Switching Models," Tinbergen Institute Discussion Papers 11-002/4, Tinbergen Institute.
    5. Gebka, Bartosz, 2008. "Volume- and size-related lead-lag effects in stock returns and volatility: An empirical investigation of the Warsaw Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 17(1), pages 134-155.
    6. Pan, Ming-Shiun & Liano, Kartono & Huang, Gow-Cheng, 2004. "Industry momentum strategies and autocorrelations in stock returns," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 185-202, March.
    7. Kanas, Angelos & Kouretas, Georgios P., 2005. "A cointegration approach to the lead-lag effect among size-sorted equity portfolios," International Review of Economics & Finance, Elsevier, vol. 14(2), pages 181-201.
    8. Wang, Jia & Meric, Gulser & Liu, Zugang & Meric, Ilhan, 2009. "Stock market crashes, firm characteristics, and stock returns," Journal of Banking & Finance, Elsevier, vol. 33(9), pages 1563-1574, September.
    9. 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.
    10. Daniel Folkinshteyn & Gulser Meric, 2014. "The Financial Characteristics of Large and Small Firms Before and After the 2008 Stock Market Crash," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(1), pages 1-16.
    11. 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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