Correlation Between GM and Everest Metals
Can any of the company-specific risk be diversified away by investing in both GM and Everest 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 Everest 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 Everest Metals, you can compare the effects of market volatilities on GM and Everest 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 Everest Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Everest Metals.
Diversification Opportunities for GM and Everest Metals
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Everest is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Everest Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Everest Metals 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 Everest Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Everest Metals has no effect on the direction of GM i.e., GM and Everest Metals go up and down completely randomly.
Pair Corralation between GM and Everest Metals
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Everest Metals. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 2.54 times less risky than Everest Metals. The stock trades about -0.08 of its potential returns per unit of risk. The Everest Metals is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 13.00 in Everest Metals on October 23, 2024 and sell it today you would earn a total of 1.00 from holding Everest Metals or generate 7.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Everest Metals
Performance |
Timeline |
General Motors |
Everest Metals |
GM and Everest Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Everest Metals
The main advantage of trading using opposite GM and Everest Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Everest 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 Everest Metals will offset losses from the drop in Everest Metals' long position.The idea behind General Motors and Everest Metals 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.Everest Metals vs. Pinnacle Investment Management | Everest Metals vs. Microequities Asset Management | Everest Metals vs. Pure Foods Tasmania | Everest Metals vs. Super Retail Group |
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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