Correlation Between GM and Dimensional 2065
Can any of the company-specific risk be diversified away by investing in both GM and Dimensional 2065 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 GM and Dimensional 2065 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Dimensional 2065 Target, you can compare the effects of market volatilities on GM and Dimensional 2065 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 GM with a short position of Dimensional 2065. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Dimensional 2065.
Diversification Opportunities for GM and Dimensional 2065
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and Dimensional is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dimensional 2065 Target in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dimensional 2065 Target and GM 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 General Motors are associated (or correlated) with Dimensional 2065. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dimensional 2065 Target has no effect on the direction of GM i.e., GM and Dimensional 2065 go up and down completely randomly.
Pair Corralation between GM and Dimensional 2065
Allowing for the 90-day total investment horizon General Motors is expected to generate 4.09 times more return on investment than Dimensional 2065. However, GM is 4.09 times more volatile than Dimensional 2065 Target. It trades about 0.09 of its potential returns per unit of risk. Dimensional 2065 Target is currently generating about 0.1 per unit of risk. If you would invest 4,676 in General Motors on September 16, 2024 and sell it today you would earn a total of 577.00 from holding General Motors or generate 12.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Dimensional 2065 Target
Performance |
Timeline |
General Motors |
Dimensional 2065 Target |
GM and Dimensional 2065 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Dimensional 2065
The main advantage of trading using opposite GM and Dimensional 2065 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Dimensional 2065 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 2065 will offset losses from the drop in Dimensional 2065's long position.The idea behind General Motors and Dimensional 2065 Target pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Dimensional 2065 vs. Intal High Relative | Dimensional 2065 vs. Dfa International | Dimensional 2065 vs. Dfa Inflation Protected | Dimensional 2065 vs. Dfa International Small |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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