Correlation Between IShares China and VanEck 1
Can any of the company-specific risk be diversified away by investing in both IShares China and VanEck 1 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 VanEck 1 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares China LargeCap and VanEck 1 5 Year, you can compare the effects of market volatilities on IShares China and VanEck 1 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 VanEck 1. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and VanEck 1.
Diversification Opportunities for IShares China and VanEck 1
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between IShares and VanEck is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding iShares China LargeCap and VanEck 1 5 Year in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VanEck 1 5 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 LargeCap are associated (or correlated) with VanEck 1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VanEck 1 5 has no effect on the direction of IShares China i.e., IShares China and VanEck 1 go up and down completely randomly.
Pair Corralation between IShares China and VanEck 1
Assuming the 90 days trading horizon iShares China LargeCap is expected to generate 6.48 times more return on investment than VanEck 1. However, IShares China is 6.48 times more volatile than VanEck 1 5 Year. It trades about 0.09 of its potential returns per unit of risk. VanEck 1 5 Year is currently generating about 0.04 per unit of risk. If you would invest 3,568 in iShares China LargeCap on September 1, 2024 and sell it today you would earn a total of 1,062 from holding iShares China LargeCap or generate 29.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 85.86% |
| Values | Daily Returns |
iShares China LargeCap vs. VanEck 1 5 Year
Performance |
| Timeline |
| iShares China LargeCap |
| VanEck 1 5 |
IShares China and VanEck 1 Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares China and VanEck 1
The main advantage of trading using opposite IShares China and VanEck 1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, VanEck 1 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 VanEck 1 will offset losses from the drop in VanEck 1's long position.| IShares China vs. ETFS Morningstar Global | IShares China vs. BetaShares Geared Equity | IShares China vs. VanEck Vectors Australian | IShares China vs. SPDR SPASX 200 |
| VanEck 1 vs. Champion Iron | VanEck 1 vs. Australian Dairy Farms | VanEck 1 vs. Perpetual Credit Income | VanEck 1 vs. Greentech Metals |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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