Correlation Between IShares Russell and Invesco QQQ
Can any of the company-specific risk be diversified away by investing in both IShares Russell and Invesco QQQ 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 Russell and Invesco QQQ into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Russell 1000 and Invesco QQQ Trust, you can compare the effects of market volatilities on IShares Russell and Invesco QQQ 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 Russell with a short position of Invesco QQQ. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Russell and Invesco QQQ.
Diversification Opportunities for IShares Russell and Invesco QQQ
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between IShares and Invesco is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding iShares Russell 1000 and Invesco QQQ Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco QQQ Trust and IShares Russell 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 Russell 1000 are associated (or correlated) with Invesco QQQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco QQQ Trust has no effect on the direction of IShares Russell i.e., IShares Russell and Invesco QQQ go up and down completely randomly.
Pair Corralation between IShares Russell and Invesco QQQ
Considering the 90-day investment horizon iShares Russell 1000 is expected to under-perform the Invesco QQQ. In addition to that, IShares Russell is 1.04 times more volatile than Invesco QQQ Trust. It trades about -0.12 of its total potential returns per unit of risk. Invesco QQQ Trust is currently generating about -0.1 per unit of volatility. If you would invest 51,484 in Invesco QQQ Trust on December 28, 2024 and sell it today you would lose (4,590) from holding Invesco QQQ Trust or give up 8.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Russell 1000 vs. Invesco QQQ Trust
Performance |
Timeline |
iShares Russell 1000 |
Invesco QQQ Trust |
IShares Russell and Invesco QQQ Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Russell and Invesco QQQ
The main advantage of trading using opposite IShares Russell and Invesco QQQ positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Russell position performs unexpectedly, Invesco QQQ 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 QQQ will offset losses from the drop in Invesco QQQ's long position.IShares Russell vs. iShares Russell 1000 | IShares Russell vs. iShares Russell 2000 | IShares Russell vs. iShares Russell 2000 | IShares Russell vs. iShares Russell 1000 |
Invesco QQQ vs. SPDR SP 500 | Invesco QQQ vs. Vanguard SP 500 | Invesco QQQ vs. iShares Russell 2000 | Invesco QQQ vs. SPDR Dow Jones |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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