Correlation Between Spinnaker ETF and VanEck Vectors
Can any of the company-specific risk be diversified away by investing in both Spinnaker ETF 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 Spinnaker ETF and VanEck Vectors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spinnaker ETF Series and VanEck Vectors Moodys, you can compare the effects of market volatilities on Spinnaker ETF 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 Spinnaker ETF with a short position of VanEck Vectors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spinnaker ETF and VanEck Vectors.
Diversification Opportunities for Spinnaker ETF and VanEck Vectors
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Spinnaker and VanEck is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Spinnaker ETF Series and VanEck Vectors Moodys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VanEck Vectors Moodys and Spinnaker ETF 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 Spinnaker ETF Series 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 Moodys has no effect on the direction of Spinnaker ETF i.e., Spinnaker ETF and VanEck Vectors go up and down completely randomly.
Pair Corralation between Spinnaker ETF and VanEck Vectors
Given the investment horizon of 90 days Spinnaker ETF Series is expected to generate 0.56 times more return on investment than VanEck Vectors. However, Spinnaker ETF Series is 1.78 times less risky than VanEck Vectors. It trades about 0.04 of its potential returns per unit of risk. VanEck Vectors Moodys is currently generating about 0.0 per unit of risk. If you would invest 1,018 in Spinnaker ETF Series on September 4, 2024 and sell it today you would earn a total of 5.00 from holding Spinnaker ETF Series or generate 0.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Spinnaker ETF Series vs. VanEck Vectors Moodys
Performance |
Timeline |
Spinnaker ETF Series |
VanEck Vectors Moodys |
Spinnaker ETF and VanEck Vectors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spinnaker ETF and VanEck Vectors
The main advantage of trading using opposite Spinnaker ETF and VanEck Vectors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spinnaker ETF 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.Spinnaker ETF vs. IQ MacKay Municipal | Spinnaker ETF vs. Hartford Municipal Opportunities | Spinnaker ETF vs. Columbia Multi Sector Municipal | Spinnaker ETF vs. Franklin Liberty Federal |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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