Correlation Between SPDR Bloomberg and SPDR Portfolio
Can any of the company-specific risk be diversified away by investing in both SPDR Bloomberg and SPDR Portfolio 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 Portfolio 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 Portfolio High, you can compare the effects of market volatilities on SPDR Bloomberg and SPDR Portfolio 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 Portfolio. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Bloomberg and SPDR Portfolio.
Diversification Opportunities for SPDR Bloomberg and SPDR Portfolio
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between SPDR and SPDR is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Bloomberg High and SPDR Portfolio High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Portfolio High 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 Portfolio. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Portfolio High has no effect on the direction of SPDR Bloomberg i.e., SPDR Bloomberg and SPDR Portfolio go up and down completely randomly.
Pair Corralation between SPDR Bloomberg and SPDR Portfolio
Considering the 90-day investment horizon SPDR Bloomberg High is expected to under-perform the SPDR Portfolio. In addition to that, SPDR Bloomberg is 1.04 times more volatile than SPDR Portfolio High. It trades about -0.12 of its total potential returns per unit of risk. SPDR Portfolio High is currently generating about -0.12 per unit of volatility. If you would invest 2,365 in SPDR Portfolio High on October 3, 2024 and sell it today you would lose (18.00) from holding SPDR Portfolio High or give up 0.76% 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 High vs. SPDR Portfolio High
Performance |
Timeline |
SPDR Bloomberg High |
SPDR Portfolio High |
SPDR Bloomberg and SPDR Portfolio Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Bloomberg and SPDR Portfolio
The main advantage of trading using opposite SPDR Bloomberg and SPDR Portfolio positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Bloomberg position performs unexpectedly, SPDR Portfolio 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 Portfolio will offset losses from the drop in SPDR Portfolio's long position.SPDR Bloomberg vs. iShares iBoxx High | SPDR Bloomberg vs. iShares iBoxx Investment | SPDR Bloomberg vs. iShares JP Morgan | SPDR Bloomberg vs. iShares TIPS Bond |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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