Correlation Between VanEck Vectors and SPDR SSGA
Can any of the company-specific risk be diversified away by investing in both VanEck Vectors and SPDR SSGA 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 VanEck Vectors and SPDR SSGA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VanEck Vectors Moodys and SPDR SSGA My2032, you can compare the effects of market volatilities on VanEck Vectors and SPDR SSGA 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 VanEck Vectors with a short position of SPDR SSGA. Check out your portfolio center. Please also check ongoing floating volatility patterns of VanEck Vectors and SPDR SSGA.
Diversification Opportunities for VanEck Vectors and SPDR SSGA
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between VanEck and SPDR is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding VanEck Vectors Moodys and SPDR SSGA My2032 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SSGA My2032 and VanEck Vectors 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 VanEck Vectors Moodys are associated (or correlated) with SPDR SSGA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SSGA My2032 has no effect on the direction of VanEck Vectors i.e., VanEck Vectors and SPDR SSGA go up and down completely randomly.
Pair Corralation between VanEck Vectors and SPDR SSGA
Given the investment horizon of 90 days VanEck Vectors Moodys is expected to generate 0.97 times more return on investment than SPDR SSGA. However, VanEck Vectors Moodys is 1.03 times less risky than SPDR SSGA. It trades about 0.04 of its potential returns per unit of risk. SPDR SSGA My2032 is currently generating about -0.15 per unit of risk. If you would invest 2,030 in VanEck Vectors Moodys on October 9, 2024 and sell it today you would earn a total of 73.00 from holding VanEck Vectors Moodys or generate 3.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 29.55% |
Values | Daily Returns |
VanEck Vectors Moodys vs. SPDR SSGA My2032
Performance |
Timeline |
VanEck Vectors Moodys |
SPDR SSGA My2032 |
VanEck Vectors and SPDR SSGA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VanEck Vectors and SPDR SSGA
The main advantage of trading using opposite VanEck Vectors and SPDR SSGA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VanEck Vectors position performs unexpectedly, SPDR SSGA 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 SPDR SSGA will offset losses from the drop in SPDR SSGA's long position.VanEck Vectors vs. iShares iBonds 2026 | VanEck Vectors vs. iShares BBB Rated | VanEck Vectors vs. iShares iBonds Dec | VanEck Vectors vs. iShares 25 Year |
SPDR SSGA vs. iShares iBonds Dec | SPDR SSGA vs. iShares iBonds Dec | SPDR SSGA vs. iShares iBonds Dec | SPDR SSGA vs. iShares iBonds Dec |
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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