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Comovement and FTSE 100 index changes

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  • Jerry Coakley
  • Periklis Kougoulis
  • John C. Nankervis

Abstract

We employ the Barberis et al. (2005) methodology to investigate the impact of changes to the FTSE 100 index on return comovement 1992-2002. For FTSE entries, the average weekly increase in the beta coefficient is 0.38 in univariate regressions and 0.60 in bivariate regressions that control for the return on non-FTSE stocks. Stocks deleted from the index display the opposite pattern post exit. The results are robust to a number of factors including size, industry and non-trading effects. They are difficult to explain within a classical framework but complement those found for the USA, Japan and Canada in supporting behavioural finance views of comovement.

Suggested Citation

  • Jerry Coakley & Periklis Kougoulis & John C. Nankervis, 2014. "Comovement and FTSE 100 index changes," International Journal of Behavioural Accounting and Finance, Inderscience Enterprises Ltd, vol. 4(2), pages 93-112.
    • Handle: RePEc:ids:ijbeaf:v:4:y:2014:i:2:p:93-112
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    References listed on IDEAS

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    1. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    2. Barberis, Nicholas & Shleifer, Andrei, 2003. "Style investing," Journal of Financial Economics, Elsevier, vol. 68(2), pages 161-199, May.
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    Cited by:

    1. Khelifa Mazouz & Abdulkadir Mohamed & Brahim Saadouni, 2019. "Price Reaction of Ethically Screened Stocks: A Study of the Dow Jones Islamic Market World Index," Journal of Business Ethics, Springer, vol. 154(3), pages 683-699, February.
    2. Khelifa Mazouz & Brahim Saadouni, 2007. "The price effects of FTSE 100 index revision: what drives the long-term abnormal return reversal?," Applied Financial Economics, Taylor & Francis Journals, vol. 17(6), pages 501-510.
    3. Mazouz, Khelifa & Saadouni, Bharim, 2007. "New evidence on the price and liquidity effects of the FTSE 100 index revisions," International Review of Financial Analysis, Elsevier, vol. 16(3), pages 223-241.
    4. Mazouz, Khelifa & Daya, Wael & Yin, Shuxing, 2014. "Index revisions, systematic liquidity risk and the cost of equity capital," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 283-298.
    5. Ahmed Rakha & Hansi Hettiarachchi & Dina Rady & Mohamed Medhat Gaber & Emad Rakha & Mohammed M. Abdelsamea, 2021. "Predicting the Economic Impact of the COVID-19 Pandemic in the United Kingdom Using Time-Series Mining," Economies, MDPI, vol. 9(4), pages 1-19, September.
    6. Chu, Gang & Goodell, John W. & Li, Xiao & Zhang, Yongjie, 2021. "Long-term impacts of index reconstitutions: Evidence from the CSI 300 additions and deletions," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).
    7. Claessens, Stijn & Yafeh, Yishay, 2008. "Additions to Market Indices and the Comovement of Stock Returns around the World," CEPR Discussion Papers 7052, C.E.P.R. Discussion Papers.
    8. Li, Jie & Zhang, Yongjie & Feng, Xu & An, Yahui, 2019. "Which kind of investor causes comovement?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 1-15.
    9. Su, Fei & Wang, Xinyi, 2021. "Investor co-attention and stock return co-movement: Evidence from China’s A-share stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    10. Mazouz, Khelifa & Mohamed, Abdulkadir & Saadouni, Brahim, 2016. "Stock return comovement around the Dow Jones Islamic Market World Index revisions," Journal of Economic Behavior & Organization, Elsevier, vol. 132(S), pages 50-62.

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