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International stock market linkages: A factor analysis approach

Author

Listed:
  • M Illueca

    (University Jaume I)

  • J A Lafuente

    (Lecturer in Finance in the Faculty of Law and Economics at University Jaume I)

Abstract

This paper provides empirical evidence on the factor structure of stock market return and volatility from a representative set of international stock exchanges. As to stock market return linkages, the results show a mild segmentation of international stock exchanges into four international areas: Europe, Asia, North and South America. Empirical findings concerning stock market volatility, estimated using GARCH methodology, also lead to a four factors solution. However, the loadings are not similar, revealing that risk is spread more globally around the world.

Suggested Citation

  • M Illueca & J A Lafuente, 2002. "International stock market linkages: A factor analysis approach," Journal of Asset Management, Palgrave Macmillan, vol. 3(3), pages 253-265, December.
    • Handle: RePEc:pal:assmgt:v:3:y:2002:i:3:d:10.1057_palgrave.jam.2240079
    DOI: 10.1057/palgrave.jam.2240079
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    Citations

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    Cited by:

    1. Kim Hiang Liow & James R. Webb, 2009. "Common factors in international securitized real estate markets," Review of Financial Economics, John Wiley & Sons, vol. 18(2), pages 80-89, April.
    2. Kim Liow & Muhammad Ibrahim, 2010. "Volatility Decomposition and Correlation in International Securitized Real Estate Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 40(2), pages 221-243, February.
    3. Fernandez-Izquierdo, Angeles & Lafuente, Juan Angel, 2004. "International transmission of stock exchange volatility: Empirical evidence from the Asian crisis," Global Finance Journal, Elsevier, vol. 15(2), pages 125-137, August.
    4. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    5. Andile Khula & Ntebogang Dinah Moroke, 2017. "The Performance of Maximum Likelihood Factor Analysis on South African Stock Price Performance," Journal of Economics and Behavioral Studies, AMH International, vol. 8(6), pages 40-51.
    6. Liu, Xiaoming & Lin, Aijing & Li, Shuqi, 2021. "Classification of international stock markets through MDS based on Hurst-surface distance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    7. Kasilingam Lingaraja & Murugesan Selvam & Vinayagamoorthi Vasanth & Ramachandran Rajesh Ramkumar, 2015. "Long-run Overseas Portfolio Diversification Benefits and Opportunities of Asian Emerging Stock Markets and Developed Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 5(2), pages 324-333.

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