Correlation Between GM and Mutual Quest
Can any of the company-specific risk be diversified away by investing in both GM and Mutual Quest 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 Mutual Quest into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Mutual Quest, you can compare the effects of market volatilities on GM and Mutual Quest 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 Mutual Quest. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Mutual Quest.
Diversification Opportunities for GM and Mutual Quest
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GM and Mutual is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Mutual Quest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mutual Quest 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 Mutual Quest. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mutual Quest has no effect on the direction of GM i.e., GM and Mutual Quest go up and down completely randomly.
Pair Corralation between GM and Mutual Quest
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Mutual Quest. In addition to that, GM is 6.77 times more volatile than Mutual Quest. It trades about -0.19 of its total potential returns per unit of risk. Mutual Quest is currently generating about -0.11 per unit of volatility. If you would invest 1,481 in Mutual Quest on September 19, 2024 and sell it today you would lose (13.00) from holding Mutual Quest or give up 0.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. Mutual Quest
Performance |
Timeline |
General Motors |
Mutual Quest |
GM and Mutual Quest Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Mutual Quest
The main advantage of trading using opposite GM and Mutual Quest positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Mutual Quest 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 Mutual Quest will offset losses from the drop in Mutual Quest's long position.The idea behind General Motors and Mutual Quest 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.Mutual Quest vs. Franklin Mutual Beacon | Mutual Quest vs. Templeton Developing Markets | Mutual Quest vs. Franklin Mutual Global | Mutual Quest vs. Franklin Mutual Global |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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