Correlation Between Dimensional Core and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Dimensional Core and Morgan Stanley 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 Morgan Stanley 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 Morgan Stanley ETF, you can compare the effects of market volatilities on Dimensional Core and Morgan Stanley 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 Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dimensional Core and Morgan Stanley.
Diversification Opportunities for Dimensional Core and Morgan Stanley
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dimensional and Morgan is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Dimensional Core Equity and Morgan Stanley ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley ETF 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 Morgan Stanley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Morgan Stanley ETF has no effect on the direction of Dimensional Core i.e., Dimensional Core and Morgan Stanley go up and down completely randomly.
Pair Corralation between Dimensional Core and Morgan Stanley
Given the investment horizon of 90 days Dimensional Core Equity is expected to generate 1.05 times more return on investment than Morgan Stanley. However, Dimensional Core is 1.05 times more volatile than Morgan Stanley ETF. It trades about 0.18 of its potential returns per unit of risk. Morgan Stanley ETF is currently generating about 0.17 per unit of risk. If you would invest 3,337 in Dimensional Core Equity on September 13, 2024 and sell it today you would earn a total of 289.00 from holding Dimensional Core Equity or generate 8.66% 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. Morgan Stanley ETF
Performance |
Timeline |
Dimensional Core Equity |
Morgan Stanley ETF |
Dimensional Core and Morgan Stanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dimensional Core and Morgan Stanley
The main advantage of trading using opposite Dimensional Core and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dimensional Core position performs unexpectedly, Morgan Stanley 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 Morgan Stanley will offset losses from the drop in Morgan Stanley's long position.Dimensional Core vs. Dimensional Targeted Value | Dimensional Core vs. Dimensional World ex | Dimensional Core vs. Dimensional Small Cap | Dimensional Core vs. Dimensional Core Equity |
Morgan Stanley vs. Vanguard SP 500 | Morgan Stanley vs. Vanguard Real Estate | Morgan Stanley vs. Vanguard Total Bond | Morgan Stanley vs. Vanguard High Dividend |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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