Correlation Between Invesco QQQ and VanEck Vectors
Can any of the company-specific risk be diversified away by investing in both Invesco QQQ and VanEck Vectors 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 VanEck Vectors 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 VanEck Vectors ETF, you can compare the effects of market volatilities on Invesco QQQ and VanEck Vectors 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 VanEck Vectors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco QQQ and VanEck Vectors.
Diversification Opportunities for Invesco QQQ and VanEck Vectors
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Invesco and VanEck is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Invesco QQQ Trust and VanEck Vectors ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VanEck Vectors ETF 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 VanEck Vectors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VanEck Vectors ETF has no effect on the direction of Invesco QQQ i.e., Invesco QQQ and VanEck Vectors go up and down completely randomly.
Pair Corralation between Invesco QQQ and VanEck Vectors
Assuming the 90 days trading horizon Invesco QQQ Trust is expected to under-perform the VanEck Vectors. But the etf apears to be less risky and, when comparing its historical volatility, Invesco QQQ Trust is 1.98 times less risky than VanEck Vectors. The etf trades about -0.12 of its potential returns per unit of risk. The VanEck Vectors ETF is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 95,700 in VanEck Vectors ETF on December 22, 2024 and sell it today you would earn a total of 13,300 from holding VanEck Vectors ETF or generate 13.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Invesco QQQ Trust vs. VanEck Vectors ETF
Performance |
Timeline |
Invesco QQQ Trust |
VanEck Vectors ETF |
Invesco QQQ and VanEck Vectors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco QQQ and VanEck Vectors
The main advantage of trading using opposite Invesco QQQ and VanEck Vectors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco QQQ position performs unexpectedly, VanEck Vectors 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 VanEck Vectors will offset losses from the drop in VanEck Vectors' 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 |
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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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