Correlation Between IShares China and IShares III
Can any of the company-specific risk be diversified away by investing in both IShares China and IShares III at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining IShares China and IShares III into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares China CNY and iShares III Public, you can compare the effects of market volatilities on IShares China and IShares III and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in IShares China with a short position of IShares III. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and IShares III.
Diversification Opportunities for IShares China and IShares III
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between IShares and IShares is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding iShares China CNY and iShares III Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares III Public and IShares China is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on iShares China CNY are associated (or correlated) with IShares III. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares III Public has no effect on the direction of IShares China i.e., IShares China and IShares III go up and down completely randomly.
Pair Corralation between IShares China and IShares III
Assuming the 90 days trading horizon iShares China CNY is expected to generate 0.5 times more return on investment than IShares III. However, iShares China CNY is 1.99 times less risky than IShares III. It trades about 0.3 of its potential returns per unit of risk. iShares III Public is currently generating about -0.05 per unit of risk. If you would invest 553.00 in iShares China CNY on October 24, 2024 and sell it today you would earn a total of 20.00 from holding iShares China CNY or generate 3.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
iShares China CNY vs. iShares III Public
Performance |
Timeline |
iShares China CNY |
iShares III Public |
IShares China and IShares III Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares China and IShares III
The main advantage of trading using opposite IShares China and IShares III positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, IShares III can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IShares III will offset losses from the drop in IShares III's long position.IShares China vs. iShares III Public | IShares China vs. iShares Core MSCI | IShares China vs. iShares France Govt | IShares China vs. iShares Edge MSCI |
IShares III vs. iShares Core MSCI | IShares III vs. iShares France Govt | IShares III vs. iShares Edge MSCI | IShares III vs. iShares Core FTSE |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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