Both authors from Graduate School of Management, University of Minnesota.
Estimating the Correlation Structure of International Share Prices
Article first published online: 30 APR 2012
1984 The American Finance Association
The Journal of Finance
Volume 39, Issue 5, pages 1311–1324, December 1984
How to Cite
EUN, C. S. and RESNICK, B. G. (1984), Estimating the Correlation Structure of International Share Prices. The Journal of Finance, 39: 1311–1324. doi: 10.1111/j.1540-6261.1984.tb04909.x
- Issue published online: 30 APR 2012
- Article first published online: 30 APR 2012
Recently, the case for international portfolio diversification has been convincingly argued in the framework of mean-variance portfolio analysis by a number of researchers. However, virtually no empirical documentation exists concerning the best method for estimating the correlation structure of international share prices. In this paper, 12 models for estimating the international correlation matrix are presented and empirically tested relative to full historical extrapolation. The major evaluation criteria are the mean squared error and stochastic dominance based on the frequency distribution of the squared forecast errors. The results indicate that the National Mean Model strictly dominates all the others in terms of forecasting accuracy.