Correlation Between SPDR Bloomberg and SPDR SSGA
Can any of the company-specific risk be diversified away by investing in both SPDR Bloomberg 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 SPDR Bloomberg and SPDR SSGA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Bloomberg Barclays and SPDR SSGA Fixed, you can compare the effects of market volatilities on SPDR Bloomberg 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 SPDR Bloomberg with a short position of SPDR SSGA. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Bloomberg and SPDR SSGA.
Diversification Opportunities for SPDR Bloomberg and SPDR SSGA
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 Bloomberg Barclays and SPDR SSGA Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SSGA Fixed and SPDR Bloomberg 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 Bloomberg Barclays 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 Fixed has no effect on the direction of SPDR Bloomberg i.e., SPDR Bloomberg and SPDR SSGA go up and down completely randomly.
Pair Corralation between SPDR Bloomberg and SPDR SSGA
Given the investment horizon of 90 days SPDR Bloomberg Barclays is expected to generate 1.02 times more return on investment than SPDR SSGA. However, SPDR Bloomberg is 1.02 times more volatile than SPDR SSGA Fixed. It trades about 0.18 of its potential returns per unit of risk. SPDR SSGA Fixed is currently generating about 0.08 per unit of risk. If you would invest 2,400 in SPDR Bloomberg Barclays on September 18, 2024 and sell it today you would earn a total of 31.00 from holding SPDR Bloomberg Barclays or generate 1.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Bloomberg Barclays vs. SPDR SSGA Fixed
Performance |
Timeline |
SPDR Bloomberg Barclays |
SPDR SSGA Fixed |
SPDR Bloomberg and SPDR SSGA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Bloomberg and SPDR SSGA
The main advantage of trading using opposite SPDR Bloomberg and SPDR SSGA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Bloomberg 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.SPDR Bloomberg vs. SPDR Bloomberg International | SPDR Bloomberg vs. VanEck JP Morgan | SPDR Bloomberg vs. Invesco Fundamental High | SPDR Bloomberg vs. iShares MBS ETF |
SPDR SSGA vs. ClearShares Ultra Short Maturity | SPDR SSGA vs. PGIM Active High | SPDR SSGA vs. Pacer Trendpilot Bond | SPDR SSGA vs. Pacer Lunt Large |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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