Correlation Between SPDR SP and Dimensional Core
Can any of the company-specific risk be diversified away by investing in both SPDR SP and Dimensional Core 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 SP and Dimensional Core into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR SP 500 and Dimensional Core Equity, you can compare the effects of market volatilities on SPDR SP and Dimensional Core 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 SP with a short position of Dimensional Core. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR SP and Dimensional Core.
Diversification Opportunities for SPDR SP and Dimensional Core
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SPDR and Dimensional is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SP 500 and Dimensional Core Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dimensional Core Equity and SPDR SP 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 SP 500 are associated (or correlated) with Dimensional Core. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dimensional Core Equity has no effect on the direction of SPDR SP i.e., SPDR SP and Dimensional Core go up and down completely randomly.
Pair Corralation between SPDR SP and Dimensional Core
Considering the 90-day investment horizon SPDR SP 500 is expected to under-perform the Dimensional Core. In addition to that, SPDR SP is 1.05 times more volatile than Dimensional Core Equity. It trades about -0.08 of its total potential returns per unit of risk. Dimensional Core Equity is currently generating about -0.08 per unit of volatility. If you would invest 3,456 in Dimensional Core Equity on December 30, 2024 and sell it today you would lose (176.00) from holding Dimensional Core Equity or give up 5.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR SP 500 vs. Dimensional Core Equity
Performance |
Timeline |
SPDR SP 500 |
Dimensional Core Equity |
SPDR SP and Dimensional Core Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR SP and Dimensional Core
The main advantage of trading using opposite SPDR SP and Dimensional Core positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR SP position performs unexpectedly, Dimensional Core 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 Dimensional Core will offset losses from the drop in Dimensional Core's long position.SPDR SP vs. FT Vest Equity | SPDR SP vs. Northern Lights | SPDR SP vs. Dimensional International High | SPDR SP vs. First Trust Exchange Traded |
Dimensional Core vs. Dimensional Targeted Value | Dimensional Core vs. Dimensional World ex | Dimensional Core vs. Dimensional Small Cap | Dimensional Core vs. Dimensional Core Equity |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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