Correlation Between SPDR STOXX and SPDR Bloomberg
Can any of the company-specific risk be diversified away by investing in both SPDR STOXX 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 STOXX 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 STOXX Europe and SPDR Bloomberg Barclays, you can compare the effects of market volatilities on SPDR STOXX 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 STOXX with a short position of SPDR Bloomberg. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR STOXX and SPDR Bloomberg.
Diversification Opportunities for SPDR STOXX and SPDR Bloomberg
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SPDR and SPDR is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding SPDR STOXX Europe 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 STOXX 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 STOXX Europe 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 STOXX i.e., SPDR STOXX and SPDR Bloomberg go up and down completely randomly.
Pair Corralation between SPDR STOXX and SPDR Bloomberg
Considering the 90-day investment horizon SPDR STOXX Europe is expected to generate 2.91 times more return on investment than SPDR Bloomberg. However, SPDR STOXX is 2.91 times more volatile than SPDR Bloomberg Barclays. It trades about 0.03 of its potential returns per unit of risk. SPDR Bloomberg Barclays is currently generating about 0.06 per unit of risk. If you would invest 4,195 in SPDR STOXX Europe on December 2, 2024 and sell it today you would earn a total of 200.00 from holding SPDR STOXX Europe or generate 4.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR STOXX Europe vs. SPDR Bloomberg Barclays
Performance |
Timeline |
SPDR STOXX Europe |
SPDR Bloomberg Barclays |
SPDR STOXX and SPDR Bloomberg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR STOXX and SPDR Bloomberg
The main advantage of trading using opposite SPDR STOXX and SPDR Bloomberg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR STOXX 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 STOXX vs. SPDR Bloomberg Barclays | SPDR STOXX vs. SPDR Kensho Future | SPDR STOXX vs. SPDR Kensho Intelligent | SPDR STOXX vs. SPDR SP Kensho |
SPDR Bloomberg vs. SPDR STOXX Europe | SPDR Bloomberg vs. SPDR Kensho Future | SPDR Bloomberg vs. SPDR Kensho Intelligent | SPDR Bloomberg vs. SPDR SP Kensho |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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