Correlation Between SmartETFs Dividend and IShares MSCI
Can any of the company-specific risk be diversified away by investing in both SmartETFs Dividend and IShares MSCI 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 SmartETFs Dividend and IShares MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SmartETFs Dividend Builder and iShares MSCI China, you can compare the effects of market volatilities on SmartETFs Dividend and IShares MSCI 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 SmartETFs Dividend with a short position of IShares MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of SmartETFs Dividend and IShares MSCI.
Diversification Opportunities for SmartETFs Dividend and IShares MSCI
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SmartETFs and IShares is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding SmartETFs Dividend Builder and iShares MSCI China in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares MSCI China and SmartETFs Dividend 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 SmartETFs Dividend Builder are associated (or correlated) with IShares MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares MSCI China has no effect on the direction of SmartETFs Dividend i.e., SmartETFs Dividend and IShares MSCI go up and down completely randomly.
Pair Corralation between SmartETFs Dividend and IShares MSCI
Given the investment horizon of 90 days SmartETFs Dividend Builder is expected to generate 0.48 times more return on investment than IShares MSCI. However, SmartETFs Dividend Builder is 2.08 times less risky than IShares MSCI. It trades about 0.13 of its potential returns per unit of risk. iShares MSCI China is currently generating about -0.04 per unit of risk. If you would invest 2,842 in SmartETFs Dividend Builder on October 20, 2024 and sell it today you would earn a total of 43.00 from holding SmartETFs Dividend Builder or generate 1.51% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
SmartETFs Dividend Builder vs. iShares MSCI China
Performance |
| Timeline |
| SmartETFs Dividend |
| iShares MSCI China |
SmartETFs Dividend and IShares MSCI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SmartETFs Dividend and IShares MSCI
The main advantage of trading using opposite SmartETFs Dividend and IShares MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SmartETFs Dividend position performs unexpectedly, IShares MSCI 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 MSCI will offset losses from the drop in IShares MSCI's long position.| SmartETFs Dividend vs. SmartETFs Asia Pacific | SmartETFs Dividend vs. Listed Funds Trust | SmartETFs Dividend vs. iShares AsiaPacific Dividend | SmartETFs Dividend vs. ProShares MSCI Emerging |
| IShares MSCI vs. KraneShares CSI China | IShares MSCI vs. Invesco China Technology | IShares MSCI vs. iShares MSCI India | IShares MSCI vs. Xtrackers Harvest CSI |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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