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• W1575394449 abstract "<p>This paper studies the out of sample risk reduction of global minimum variance portfolio. The analysis are drown from the discussions of Jagannathan and Ma (2003) regarding the risk reduction in US stock portfolios using portfolio constraints. We estimate the covariance matrix using the sample covariance matrix approach and derive optimal minimum variance portfolios considering upper/lower bounds and no restrictions. Results are shown under different revision frequency and transaction costs assumed. The data used are monthly indices of stocks, bonds, gold oil and spreads from 1996 until 2013. Unconstrained GMVPs result in the lowest out of sample variance, while unconstrained GMVPs of global bond portfolios performs the best in terms of risk reduction. Diversification through global asset classes result in a better strategy than international stock diversification regarding risk, as suggested by the literature.</p>" @default.
• W1575394449 created "2016-06-24" @default.
• W1575394449 creator A5013126538 @default.
• W1575394449 creator A5035019058 @default.
• W1575394449 date "2014-10-29" @default.
• W1575394449 modified "2023-09-26" @default.
• W1575394449 title "Does GMVP Strategy Reduce Risk? A Global Asset Approach" @default.
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• W1575394449 doi "https://doi.org/10.19030/jabr.v30i6.8899" @default.
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