Correlation Between GM and Defense Metals
Can any of the company-specific risk be diversified away by investing in both GM and Defense Metals 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 Defense Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Defense Metals Corp, you can compare the effects of market volatilities on GM and Defense Metals 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 Defense Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Defense Metals.
Diversification Opportunities for GM and Defense Metals
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between GM and Defense is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Defense Metals Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Defense Metals Corp 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 Defense Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Defense Metals Corp has no effect on the direction of GM i.e., GM and Defense Metals go up and down completely randomly.
Pair Corralation between GM and Defense Metals
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.34 times more return on investment than Defense Metals. However, General Motors is 2.91 times less risky than Defense Metals. It trades about 0.09 of its potential returns per unit of risk. Defense Metals Corp is currently generating about 0.01 per unit of risk. If you would invest 3,568 in General Motors on September 25, 2024 and sell it today you would earn a total of 1,613 from holding General Motors or generate 45.21% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 99.6% |
| Values | Daily Returns |
General Motors vs. Defense Metals Corp
Performance |
| Timeline |
| General Motors |
| Defense Metals Corp |
GM and Defense Metals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with GM and Defense Metals
The main advantage of trading using opposite GM and Defense Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Defense Metals 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 Defense Metals will offset losses from the drop in Defense Metals' long position.The idea behind General Motors and Defense Metals Corp 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.| Defense Metals vs. Ucore Rare Metals | Defense Metals vs. Canada Rare Earth | Defense Metals vs. Stillwater Critical Minerals |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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