Correlation Between SPDR Bloomberg and SPDR Barclays
Can any of the company-specific risk be diversified away by investing in both SPDR Bloomberg and SPDR Barclays 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 Barclays into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Bloomberg High and SPDR Barclays Short, you can compare the effects of market volatilities on SPDR Bloomberg and SPDR Barclays 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 Barclays. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Bloomberg and SPDR Barclays.
Diversification Opportunities for SPDR Bloomberg and SPDR Barclays
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SPDR and SPDR is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Bloomberg High and SPDR Barclays Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Barclays Short 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 High are associated (or correlated) with SPDR Barclays. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Barclays Short has no effect on the direction of SPDR Bloomberg i.e., SPDR Bloomberg and SPDR Barclays go up and down completely randomly.
Pair Corralation between SPDR Bloomberg and SPDR Barclays
Considering the 90-day investment horizon SPDR Bloomberg High is expected to generate 3.1 times more return on investment than SPDR Barclays. However, SPDR Bloomberg is 3.1 times more volatile than SPDR Barclays Short. It trades about 0.1 of its potential returns per unit of risk. SPDR Barclays Short is currently generating about 0.1 per unit of risk. If you would invest 9,342 in SPDR Bloomberg High on February 4, 2024 and sell it today you would earn a total of 85.00 from holding SPDR Bloomberg High or generate 0.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Bloomberg High vs. SPDR Barclays Short
Performance |
Timeline |
SPDR Bloomberg High |
SPDR Barclays Short |
SPDR Bloomberg and SPDR Barclays Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Bloomberg and SPDR Barclays
The main advantage of trading using opposite SPDR Bloomberg and SPDR Barclays positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Bloomberg position performs unexpectedly, SPDR Barclays 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 Barclays will offset losses from the drop in SPDR Barclays' long position.SPDR Bloomberg vs. Rivernorth Opportunistic Municipalome | SPDR Bloomberg vs. MFS Investment Grade | SPDR Bloomberg vs. RiverNorth Managed Duration | SPDR Bloomberg vs. Blackrock Muniholdings Ny |
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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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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