Correlation Between Dimensional Core and Vanguard
Can any of the company-specific risk be diversified away by investing in both Dimensional Core and Vanguard 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 Dimensional Core and Vanguard into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dimensional Core Equity and Vanguard SP 500, you can compare the effects of market volatilities on Dimensional Core and Vanguard 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 Dimensional Core with a short position of Vanguard. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dimensional Core and Vanguard.
Diversification Opportunities for Dimensional Core and Vanguard
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dimensional and Vanguard is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Dimensional Core Equity and Vanguard SP 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard SP 500 and Dimensional Core 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 Dimensional Core Equity are associated (or correlated) with Vanguard. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard SP 500 has no effect on the direction of Dimensional Core i.e., Dimensional Core and Vanguard go up and down completely randomly.
Pair Corralation between Dimensional Core and Vanguard
Given the investment horizon of 90 days Dimensional Core is expected to generate 1.05 times less return on investment than Vanguard. In addition to that, Dimensional Core is 1.02 times more volatile than Vanguard SP 500. It trades about 0.1 of its total potential returns per unit of risk. Vanguard SP 500 is currently generating about 0.1 per unit of volatility. If you would invest 60,272 in Vanguard SP 500 on September 12, 2025 and sell it today you would earn a total of 2,944 from holding Vanguard SP 500 or generate 4.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dimensional Core Equity vs. Vanguard SP 500
Performance |
| Timeline |
| Dimensional Core Equity |
| Vanguard SP 500 |
Dimensional Core and Vanguard Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Dimensional Core and Vanguard
The main advantage of trading using opposite Dimensional Core and Vanguard positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dimensional Core position performs unexpectedly, Vanguard 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 Vanguard will offset losses from the drop in Vanguard's long position.| Dimensional Core vs. SPDR Dow Jones | Dimensional Core vs. Vanguard Small Cap Growth | Dimensional Core vs. Vanguard Small Cap Growth | Dimensional Core vs. Schwab Broad Market |
| Vanguard vs. Vanguard Institutional Index | Vanguard vs. Vanguard Growth Index | Vanguard vs. Vanguard Growth Index | Vanguard vs. Vanguard Mid Cap Index |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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