Correlation Between GM and Copper Lake
Can any of the company-specific risk be diversified away by investing in both GM and Copper Lake 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 Copper Lake into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Copper Lake Resources, you can compare the effects of market volatilities on GM and Copper Lake 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 Copper Lake. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Copper Lake.
Diversification Opportunities for GM and Copper Lake
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GM and Copper is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Copper Lake Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Copper Lake Resources 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 Copper Lake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Copper Lake Resources has no effect on the direction of GM i.e., GM and Copper Lake go up and down completely randomly.
Pair Corralation between GM and Copper Lake
Allowing for the 90-day total investment horizon GM is expected to generate 42.26 times less return on investment than Copper Lake. But when comparing it to its historical volatility, General Motors is 16.17 times less risky than Copper Lake. It trades about 0.04 of its potential returns per unit of risk. Copper Lake Resources is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 1.50 in Copper Lake Resources on September 22, 2024 and sell it today you would lose (1.35) from holding Copper Lake Resources or give up 90.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. Copper Lake Resources
Performance |
Timeline |
General Motors |
Copper Lake Resources |
GM and Copper Lake Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Copper Lake
The main advantage of trading using opposite GM and Copper Lake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Copper Lake 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 Copper Lake will offset losses from the drop in Copper Lake's long position.The idea behind General Motors and Copper Lake Resources 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.Copper Lake vs. Altair International Corp | Copper Lake vs. Global Battery Metals | Copper Lake vs. Lake Resources NL | Copper Lake vs. Jourdan Resources |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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