Correlation Between GM and Dynamic Us
Can any of the company-specific risk be diversified away by investing in both GM and Dynamic Us 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 Dynamic Us into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Dynamic Opportunity Fund, you can compare the effects of market volatilities on GM and Dynamic Us 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 Dynamic Us. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Dynamic Us.
Diversification Opportunities for GM and Dynamic Us
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Dynamic is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Dynamic Opportunity Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dynamic Opportunity 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 Dynamic Us. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dynamic Opportunity has no effect on the direction of GM i.e., GM and Dynamic Us go up and down completely randomly.
Pair Corralation between GM and Dynamic Us
Allowing for the 90-day total investment horizon General Motors is expected to generate 6.12 times more return on investment than Dynamic Us. However, GM is 6.12 times more volatile than Dynamic Opportunity Fund. It trades about 0.14 of its potential returns per unit of risk. Dynamic Opportunity Fund is currently generating about 0.51 per unit of risk. If you would invest 5,180 in General Motors on September 3, 2024 and sell it today you would earn a total of 379.00 from holding General Motors or generate 7.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
General Motors vs. Dynamic Opportunity Fund
Performance |
| Timeline |
| General Motors |
| Dynamic Opportunity |
GM and Dynamic Us Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Dynamic Us
The main advantage of trading using opposite GM and Dynamic Us positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Dynamic Us 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 Dynamic Us will offset losses from the drop in Dynamic Us' long position.The idea behind General Motors and Dynamic Opportunity Fund 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.| Dynamic Us vs. Quantex Fund Retail | Dynamic Us vs. Infrastructure Fund Retail | Dynamic Us vs. Dynamic Growth Fund | Dynamic Us vs. Balanced Fund Retail |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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