Correlation Between SPDR SSGA and SPDR Bloomberg
Can any of the company-specific risk be diversified away by investing in both SPDR SSGA and SPDR Bloomberg 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 SPDR SSGA and SPDR Bloomberg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR SSGA Fixed and SPDR Bloomberg Barclays, you can compare the effects of market volatilities on SPDR SSGA and SPDR Bloomberg 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 SPDR SSGA with a short position of SPDR Bloomberg. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR SSGA and SPDR Bloomberg.
Diversification Opportunities for SPDR SSGA and SPDR Bloomberg
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SPDR and SPDR is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SSGA Fixed and SPDR Bloomberg Barclays in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Bloomberg Barclays and SPDR SSGA 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 SPDR SSGA Fixed are associated (or correlated) with SPDR Bloomberg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Bloomberg Barclays has no effect on the direction of SPDR SSGA i.e., SPDR SSGA and SPDR Bloomberg go up and down completely randomly.
Pair Corralation between SPDR SSGA and SPDR Bloomberg
Given the investment horizon of 90 days SPDR SSGA Fixed is expected to generate 0.86 times more return on investment than SPDR Bloomberg. However, SPDR SSGA Fixed is 1.16 times less risky than SPDR Bloomberg. It trades about 0.13 of its potential returns per unit of risk. SPDR Bloomberg Barclays is currently generating about 0.11 per unit of risk. If you would invest 2,512 in SPDR SSGA Fixed on December 27, 2024 and sell it today you would earn a total of 63.00 from holding SPDR SSGA Fixed or generate 2.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR SSGA Fixed vs. SPDR Bloomberg Barclays
Performance |
Timeline |
SPDR SSGA Fixed |
SPDR Bloomberg Barclays |
SPDR SSGA and SPDR Bloomberg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR SSGA and SPDR Bloomberg
The main advantage of trading using opposite SPDR SSGA and SPDR Bloomberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR SSGA position performs unexpectedly, SPDR Bloomberg 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 Bloomberg will offset losses from the drop in SPDR Bloomberg's long position.SPDR SSGA vs. SPDR SSGA Sector | SPDR SSGA vs. SPDR DoubleLine Emerging | SPDR SSGA vs. SPDR DoubleLine Short | SPDR SSGA vs. SPDR SSgA Ultra |
SPDR Bloomberg vs. SPDR DoubleLine Emerging | SPDR Bloomberg vs. SPDR SSGA Fixed | SPDR Bloomberg vs. SPDR Series Trust | SPDR Bloomberg vs. SSGA Active 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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