Correlation Between IShares China and SSgA SPDR
Can any of the company-specific risk be diversified away by investing in both IShares China and SSgA SPDR 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 SSgA SPDR 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 SSgA SPDR ETFs, you can compare the effects of market volatilities on IShares China and SSgA SPDR 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 SSgA SPDR. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares China and SSgA SPDR.
Diversification Opportunities for IShares China and SSgA SPDR
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between IShares and SSgA is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding iShares China CNY and SSgA SPDR ETFs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSgA SPDR ETFs 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 SSgA SPDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSgA SPDR ETFs has no effect on the direction of IShares China i.e., IShares China and SSgA SPDR go up and down completely randomly.
Pair Corralation between IShares China and SSgA SPDR
Assuming the 90 days trading horizon iShares China CNY is expected to under-perform the SSgA SPDR. But the etf apears to be less risky and, when comparing its historical volatility, iShares China CNY is 3.18 times less risky than SSgA SPDR. The etf trades about -0.08 of its potential returns per unit of risk. The SSgA SPDR ETFs is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 4,746 in SSgA SPDR ETFs on September 21, 2024 and sell it today you would earn a total of 646.00 from holding SSgA SPDR ETFs or generate 13.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.46% |
Values | Daily Returns |
iShares China CNY vs. SSgA SPDR ETFs
Performance |
Timeline |
iShares China CNY |
SSgA SPDR ETFs |
IShares China and SSgA SPDR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares China and SSgA SPDR
The main advantage of trading using opposite IShares China and SSgA SPDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares China position performs unexpectedly, SSgA SPDR 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 SSgA SPDR will offset losses from the drop in SSgA SPDR's long position.IShares China vs. iShares Core MSCI | IShares China vs. iShares Core MSCI | IShares China vs. iShares MSCI World | IShares China vs. iShares MSCI EM |
SSgA SPDR vs. iShares Core MSCI | SSgA SPDR vs. iShares Core MSCI | SSgA SPDR vs. iShares MSCI World | SSgA SPDR vs. iShares MSCI EM |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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