Correlation Between Invesco QQQ and IShares Trust
Can any of the company-specific risk be diversified away by investing in both Invesco QQQ and IShares Trust 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 Invesco QQQ and IShares Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco QQQ Trust and iShares Trust , you can compare the effects of market volatilities on Invesco QQQ and IShares Trust 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 Invesco QQQ with a short position of IShares Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco QQQ and IShares Trust.
Diversification Opportunities for Invesco QQQ and IShares Trust
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Invesco and IShares is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding Invesco QQQ Trust and iShares Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Trust and Invesco QQQ 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 Invesco QQQ Trust are associated (or correlated) with IShares Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Trust has no effect on the direction of Invesco QQQ i.e., Invesco QQQ and IShares Trust go up and down completely randomly.
Pair Corralation between Invesco QQQ and IShares Trust
Assuming the 90 days trading horizon Invesco QQQ Trust is expected to under-perform the IShares Trust. But the etf apears to be less risky and, when comparing its historical volatility, Invesco QQQ Trust is 1.03 times less risky than IShares Trust. The etf trades about -0.05 of its potential returns per unit of risk. The iShares Trust is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 186,000 in iShares Trust on October 5, 2024 and sell it today you would lose (1,800) from holding iShares Trust or give up 0.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 94.74% |
Values | Daily Returns |
Invesco QQQ Trust vs. iShares Trust
Performance |
Timeline |
Invesco QQQ Trust |
iShares Trust |
Invesco QQQ and IShares Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco QQQ and IShares Trust
The main advantage of trading using opposite Invesco QQQ and IShares Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco QQQ position performs unexpectedly, IShares Trust 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 Trust will offset losses from the drop in IShares Trust's long position.Invesco QQQ vs. Invesco DB Multi Sector | Invesco QQQ vs. Invesco DB Multi Sector | Invesco QQQ vs. Invesco CurrencyShares Japanese | Invesco QQQ vs. Invesco DB Dollar |
IShares Trust vs. iShares Trust | IShares Trust vs. iShares Trust | IShares Trust vs. iShares Trust | IShares Trust vs. iShares Trust |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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