Correlation Between IShares China and SPDR Dow
Can any of the company-specific risk be diversified away by investing in both IShares China and SPDR Dow 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 SPDR Dow 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 SPDR Dow Jones, you can compare the effects of market volatilities on IShares China and SPDR Dow 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 SPDR Dow. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and SPDR Dow.
Diversification Opportunities for IShares China and SPDR Dow
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IShares and SPDR is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding iShares China CNY and SPDR Dow Jones in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Dow Jones 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 SPDR Dow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Dow Jones has no effect on the direction of IShares China i.e., IShares China and SPDR Dow go up and down completely randomly.
Pair Corralation between IShares China and SPDR Dow
Assuming the 90 days trading horizon IShares China is expected to generate 10.91 times less return on investment than SPDR Dow. But when comparing it to its historical volatility, iShares China CNY is 6.67 times less risky than SPDR Dow. It trades about 0.15 of its potential returns per unit of risk. SPDR Dow Jones is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 39,480 in SPDR Dow Jones on August 24, 2024 and sell it today you would earn a total of 2,325 from holding SPDR Dow Jones or generate 5.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares China CNY vs. SPDR Dow Jones
Performance |
| Timeline |
| iShares China CNY |
| SPDR Dow Jones |
IShares China and SPDR Dow Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares China and SPDR Dow
The main advantage of trading using opposite IShares China and SPDR Dow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, SPDR Dow 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 SPDR Dow will offset losses from the drop in SPDR Dow's long position.| IShares China vs. SPDR Dow Jones | IShares China vs. iShares Core MSCI | IShares China vs. iShares SP 500 | IShares China vs. iShares Global Aggregate |
| SPDR Dow vs. SPDR MSCI World | SPDR Dow vs. SPDR SP Dividend | SPDR Dow vs. SPDR SP 500 | SPDR Dow vs. SPDR BB SB |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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