Correlation Between GM and United States
Can any of the company-specific risk be diversified away by investing in both GM and United States 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 United States into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and United States Commodity, you can compare the effects of market volatilities on GM and United States 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 United States. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and United States.
Diversification Opportunities for GM and United States
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GM and United is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and United States Commodity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United States Commodity 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 United States. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United States Commodity has no effect on the direction of GM i.e., GM and United States go up and down completely randomly.
Pair Corralation between GM and United States
Allowing for the 90-day total investment horizon General Motors is expected to generate 2.45 times more return on investment than United States. However, GM is 2.45 times more volatile than United States Commodity. It trades about 0.05 of its potential returns per unit of risk. United States Commodity is currently generating about 0.04 per unit of risk. If you would invest 3,762 in General Motors on September 3, 2024 and sell it today you would earn a total of 1,797 from holding General Motors or generate 47.77% 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. United States Commodity
Performance |
| Timeline |
| General Motors |
| United States Commodity |
GM and United States Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and United States
The main advantage of trading using opposite GM and United States positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, United States 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 United States will offset losses from the drop in United States' long position.The idea behind General Motors and United States Commodity 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.| United States vs. KraneShares Bosera MSCI | United States vs. WisdomTree Continuous Commodity | United States vs. iPath Bloomberg Commodity | United States vs. Cambria Shareholder Yield |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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