Correlation Between IShares Asia and IShares SMI
Can any of the company-specific risk be diversified away by investing in both IShares Asia and IShares SMI 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 Asia and IShares SMI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Asia Property and iShares SMI ETF, you can compare the effects of market volatilities on IShares Asia and IShares SMI 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 Asia with a short position of IShares SMI. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Asia and IShares SMI.
Diversification Opportunities for IShares Asia and IShares SMI
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between IShares and IShares is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding iShares Asia Property and iShares SMI ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares SMI ETF and IShares Asia 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 Asia Property are associated (or correlated) with IShares SMI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares SMI ETF has no effect on the direction of IShares Asia i.e., IShares Asia and IShares SMI go up and down completely randomly.
Pair Corralation between IShares Asia and IShares SMI
Assuming the 90 days trading horizon IShares Asia is expected to generate 1.33 times less return on investment than IShares SMI. In addition to that, IShares Asia is 1.12 times more volatile than iShares SMI ETF. It trades about 0.15 of its total potential returns per unit of risk. iShares SMI ETF is currently generating about 0.22 per unit of volatility. If you would invest 13,008 in iShares SMI ETF on December 5, 2024 and sell it today you would earn a total of 468.00 from holding iShares SMI ETF or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Asia Property vs. iShares SMI ETF
Performance |
Timeline |
iShares Asia Property |
iShares SMI ETF |
IShares Asia and IShares SMI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Asia and IShares SMI
The main advantage of trading using opposite IShares Asia and IShares SMI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Asia position performs unexpectedly, IShares SMI 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 SMI will offset losses from the drop in IShares SMI's long position.IShares Asia vs. iShares Corp Bond | IShares Asia vs. iShares Emerging Asia | IShares Asia vs. iShares MSCI Global | IShares Asia vs. iShares VII PLC |
IShares SMI vs. iShares Core MSCI | IShares SMI vs. UBS ETF SMI | IShares SMI vs. Vanguard FTSE Emerging | IShares SMI vs. UBS ETF MSCI |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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