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A factor analysis of international portfolio diversification

Conference Paper


Abstract


  • This paper investigates the relationships between stock market returns of 13 countries based upon monthly data spanning December 1987 to April 2007. Specifically, the principal component (PC) and maximum likelihood (ML) methods are used to examine any discernable patterns of stock market co-movements. Factor analysis provides evidence that stock returns in a number of Asian countries are highly correlated and, based on the resulting robust factor loadings, they form the first well-defined common factor. We also find consistent results (based on both the PC and ML methods) suggesting that the stock returns of all global developed economy stock markets are also highly correlated, and constitute our second factor. We conclude that, inter alia, geographical proximity and the level of economic development do matter when it comes to co-movements of stock returns and that this has important implications for financial portfolio diversification if the aim is to reduce systematic risks across countries.

UOW Authors


  •   Valadkhani, Abbas (external author)
  •   Chancharat, Surachai (external author)
  •   Harvie, Charles

Publication Date


  • 2007

Citation


  • Valadkhani, A., Chancharat, S. & Harvie, C. (2007). A factor analysis of international portfolio diversification. In M. M. Islam (Eds.), Global Academy of Business and Economic Research: 2007 International Conference (pp. 724-734). Thailand: Global Academy of Business and Economic Research.

Scopus Eid


  • 2-s2.0-57749202896

Ro Metadata Url


  • http://ro.uow.edu.au/commpapers/1499

Start Page


  • 724

End Page


  • 734

Abstract


  • This paper investigates the relationships between stock market returns of 13 countries based upon monthly data spanning December 1987 to April 2007. Specifically, the principal component (PC) and maximum likelihood (ML) methods are used to examine any discernable patterns of stock market co-movements. Factor analysis provides evidence that stock returns in a number of Asian countries are highly correlated and, based on the resulting robust factor loadings, they form the first well-defined common factor. We also find consistent results (based on both the PC and ML methods) suggesting that the stock returns of all global developed economy stock markets are also highly correlated, and constitute our second factor. We conclude that, inter alia, geographical proximity and the level of economic development do matter when it comes to co-movements of stock returns and that this has important implications for financial portfolio diversification if the aim is to reduce systematic risks across countries.

UOW Authors


  •   Valadkhani, Abbas (external author)
  •   Chancharat, Surachai (external author)
  •   Harvie, Charles

Publication Date


  • 2007

Citation


  • Valadkhani, A., Chancharat, S. & Harvie, C. (2007). A factor analysis of international portfolio diversification. In M. M. Islam (Eds.), Global Academy of Business and Economic Research: 2007 International Conference (pp. 724-734). Thailand: Global Academy of Business and Economic Research.

Scopus Eid


  • 2-s2.0-57749202896

Ro Metadata Url


  • http://ro.uow.edu.au/commpapers/1499

Start Page


  • 724

End Page


  • 734