Correlation Between GM and Clean Carbon
Can any of the company-specific risk be diversified away by investing in both GM and Clean Carbon 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 Clean Carbon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Clean Carbon Energy, you can compare the effects of market volatilities on GM and Clean Carbon 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 Clean Carbon. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Clean Carbon.
Diversification Opportunities for GM and Clean Carbon
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Clean is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Clean Carbon Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Carbon Energy 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 Clean Carbon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Carbon Energy has no effect on the direction of GM i.e., GM and Clean Carbon go up and down completely randomly.
Pair Corralation between GM and Clean Carbon
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Clean Carbon. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 2.82 times less risky than Clean Carbon. The stock trades about -0.03 of its potential returns per unit of risk. The Clean Carbon Energy is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 25.00 in Clean Carbon Energy on December 27, 2024 and sell it today you would earn a total of 6.00 from holding Clean Carbon Energy or generate 24.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
General Motors vs. Clean Carbon Energy
Performance |
Timeline |
General Motors |
Clean Carbon Energy |
GM and Clean Carbon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Clean Carbon
The main advantage of trading using opposite GM and Clean Carbon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Clean Carbon 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 Clean Carbon will offset losses from the drop in Clean Carbon's long position.The idea behind General Motors and Clean Carbon Energy 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.Clean Carbon vs. Investment Friends Capital | Clean Carbon vs. Vivid Games SA | Clean Carbon vs. SOFTWARE MANSION SPOLKA | Clean Carbon vs. Ultimate Games SA |
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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