Correlation Between SPDR Bloomberg and US Treasury
Can any of the company-specific risk be diversified away by investing in both SPDR Bloomberg and US Treasury 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 US Treasury 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 US Treasury 7, you can compare the effects of market volatilities on SPDR Bloomberg and US Treasury 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 US Treasury. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Bloomberg and US Treasury.
Diversification Opportunities for SPDR Bloomberg and US Treasury
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SPDR and USVN is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Bloomberg Barclays and US Treasury 7 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on US Treasury 7 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 US Treasury. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of US Treasury 7 has no effect on the direction of SPDR Bloomberg i.e., SPDR Bloomberg and US Treasury go up and down completely randomly.
Pair Corralation between SPDR Bloomberg and US Treasury
Considering the 90-day investment horizon SPDR Bloomberg Barclays is expected to generate 0.78 times more return on investment than US Treasury. However, SPDR Bloomberg Barclays is 1.28 times less risky than US Treasury. It trades about -0.33 of its potential returns per unit of risk. US Treasury 7 is currently generating about -0.36 per unit of risk. If you would invest 2,821 in SPDR Bloomberg Barclays on October 11, 2024 and sell it today you would lose (41.00) from holding SPDR Bloomberg Barclays or give up 1.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Bloomberg Barclays vs. US Treasury 7
Performance |
Timeline |
SPDR Bloomberg Barclays |
US Treasury 7 |
SPDR Bloomberg and US Treasury Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Bloomberg and US Treasury
The main advantage of trading using opposite SPDR Bloomberg and US Treasury positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Bloomberg position performs unexpectedly, US Treasury 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 US Treasury will offset losses from the drop in US Treasury's long position.SPDR Bloomberg vs. SPDR STOXX Europe | SPDR Bloomberg vs. SPDR Kensho Future | SPDR Bloomberg vs. SPDR Kensho Intelligent | SPDR Bloomberg vs. SPDR SP Kensho |
US Treasury vs. US Treasury 3 | US Treasury vs. US Treasury 30 | US Treasury vs. US Treasury 5 | US Treasury vs. US Treasury 20 |
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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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