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Connected Stocks

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  • MIGUEL ANTÓN
  • CHRISTOPHER POLK

Abstract

type="main"> We connect stocks through their common active mutual fund owners. We show that the degree of shared ownership forecasts cross-sectional variation in return correlation, controlling for exposure to systematic return factors, style and sector similarity, and many other pair characteristics. We argue that shared ownership causes this excess comovement based on evidence from a natural experiment—the 2003 mutual fund trading scandal. These results motivate a novel cross-stock-reversal trading strategy exploiting information contained in ownership connections. We show that long-short hedge fund index returns covary negatively with this strategy, suggesting these funds may exacerbate this excess comovement.

Suggested Citation

  • Miguel Antón & Christopher Polk, 2014. "Connected Stocks," Journal of Finance, American Finance Association, vol. 69(3), pages 1099-1127, June.
    • Handle: RePEc:bla:jfinan:v:69:y:2014:i:3:p:1099-1127
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    File URL: http://hdl.handle.net/10.1111/jofi.12149
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    2. Greenwood, Robin & Thesmar, David, 2011. "Stock price fragility," Journal of Financial Economics, Elsevier, vol. 102(3), pages 471-490.
    3. Castagneto-Gissey, G. & Nivorozhkin, E., 2016. "No contagion from Russia toward global equity markets after the 2014 international sanctions," Economic Analysis and Policy, Elsevier, vol. 52(C), pages 79-98.
    4. Alexander Eisele & Tamara Nefedova & Gianpaolo Parise, 2015. "Are Star Funds Really Shining? Cross-trading And Performance Shifting In Mutual Fund Families," Post-Print hal-01458357, HAL.
    5. Kang, Johnny & Pekkala, Tapio & Polk, Christopher & Ribeiro, Ruy, 2011. "Stock prices under pressure: how tax and interest rates drive returns at the turn of the tax year," LSE Research Online Documents on Economics 43096, London School of Economics and Political Science, LSE Library.
    6. Li, Jie & Ren, Da & Feng, Xu & Zhang, Yongjie, 2016. "Network of listed companies based on common shareholders and the prediction of market volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 508-521.
    7. Zhi Da & Sophie Shive, 2018. "Exchange traded funds and asset return correlations," European Financial Management, European Financial Management Association, vol. 24(1), pages 136-168, January.
    8. Pawel Maryniak & Rafal Weron, 2017. "Habitat momentum," HSC Research Reports HSC/17/05, Hugo Steinhaus Center, Wroclaw University of Technology.
    9. Fricke, Daniel, 2016. "Has the banking system become more homogeneous? Evidence from banks’ loan portfolios," Economics Letters, Elsevier, vol. 142(C), pages 45-48.
    10. Emil Siriwardane, 2014. "Using proprietary credit default swap (CDS) data from 2010 to 2014, I show that capital fluctuations for sellers of CDS protection are an important determinant of CDS spread movements. I first establi," Working Papers 14-10, Office of Financial Research, US Department of the Treasury, revised 12 Feb 2015.
    11. Fabrice Riva & Thomas Marta, 2022. "Do ETFs increase the comovements of their underlying assets? Evidence from a switch in ETF replication technique," Post-Print hal-03969597, HAL.
    12. Edmans, Alex & Holderness, Clifford, 2016. "Blockholders: A Survey of Theory and Evidence," CEPR Discussion Papers 11442, C.E.P.R. Discussion Papers.
    13. Marcet, Francisco, 2017. "Analyst coverage network and stock return comovement in emerging markets," Emerging Markets Review, Elsevier, vol. 32(C), pages 1-27.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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