Correlation Between IShares China and IShares SP
Can any of the company-specific risk be diversified away by investing in both IShares China and IShares SP 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 SP 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 SP 500, you can compare the effects of market volatilities on IShares China and IShares SP 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 SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and IShares SP.
Diversification Opportunities for IShares China and IShares SP
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IShares and IShares is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding iShares China CNY and iShares SP 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares SP 500 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 SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares SP 500 has no effect on the direction of IShares China i.e., IShares China and IShares SP go up and down completely randomly.
Pair Corralation between IShares China and IShares SP
Assuming the 90 days trading horizon iShares China CNY is expected to under-perform the IShares SP. But the etf apears to be less risky and, when comparing its historical volatility, iShares China CNY is 1.76 times less risky than IShares SP. The etf trades about -0.06 of its potential returns per unit of risk. The iShares SP 500 is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 641.00 in iShares SP 500 on September 22, 2024 and sell it today you would earn a total of 28.00 from holding iShares SP 500 or generate 4.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iShares China CNY vs. iShares SP 500
Performance |
Timeline |
iShares China CNY |
iShares SP 500 |
IShares China and IShares SP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares China and IShares SP
The main advantage of trading using opposite IShares China and IShares SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, IShares SP 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 SP will offset losses from the drop in IShares SP's long position.IShares China vs. SPDR Dow Jones | IShares China vs. iShares Core MSCI | IShares China vs. Vanguard FTSE All World | IShares China vs. iShares China CNY |
IShares SP vs. iShares Euro Dividend | IShares SP vs. iShares II Public | IShares SP vs. Vanguard USD Treasury | IShares SP vs. VanEck Global Real |
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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