Correlation Between IShares Asia and Invesco EQQQ
Can any of the company-specific risk be diversified away by investing in both IShares Asia and Invesco EQQQ 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 Invesco EQQQ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Asia Pacific and Invesco EQQQ NASDAQ 100, you can compare the effects of market volatilities on IShares Asia and Invesco EQQQ 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 Invesco EQQQ. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Asia and Invesco EQQQ.
Diversification Opportunities for IShares Asia and Invesco EQQQ
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IShares and Invesco is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding iShares Asia Pacific and Invesco EQQQ NASDAQ 100 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco EQQQ NASDAQ 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 Pacific are associated (or correlated) with Invesco EQQQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco EQQQ NASDAQ has no effect on the direction of IShares Asia i.e., IShares Asia and Invesco EQQQ go up and down completely randomly.
Pair Corralation between IShares Asia and Invesco EQQQ
Assuming the 90 days trading horizon iShares Asia Pacific is expected to under-perform the Invesco EQQQ. But the etf apears to be less risky and, when comparing its historical volatility, iShares Asia Pacific is 1.0 times less risky than Invesco EQQQ. The etf trades about -0.23 of its potential returns per unit of risk. The Invesco EQQQ NASDAQ 100 is currently generating about -0.09 of returns per unit of risk over similar time horizon. If you would invest 36,750 in Invesco EQQQ NASDAQ 100 on October 7, 2024 and sell it today you would lose (545.00) from holding Invesco EQQQ NASDAQ 100 or give up 1.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Asia Pacific vs. Invesco EQQQ NASDAQ 100
Performance |
Timeline |
iShares Asia Pacific |
Invesco EQQQ NASDAQ |
IShares Asia and Invesco EQQQ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Asia and Invesco EQQQ
The main advantage of trading using opposite IShares Asia and Invesco EQQQ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Asia position performs unexpectedly, Invesco EQQQ 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 Invesco EQQQ will offset losses from the drop in Invesco EQQQ'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 Asia Property |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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