Correlation Between GM and CAC All
Can any of the company-specific risk be diversified away by investing in both GM and CAC All 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 CAC All into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and CAC All Shares, you can compare the effects of market volatilities on GM and CAC All 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 CAC All. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and CAC All.
Diversification Opportunities for GM and CAC All
Pay attention - limited upside
The 3 months correlation between GM and CAC is -0.81. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and CAC All Shares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CAC All Shares 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 CAC All. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CAC All Shares has no effect on the direction of GM i.e., GM and CAC All go up and down completely randomly.
Pair Corralation between GM and CAC All
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the CAC All. In addition to that, GM is 3.72 times more volatile than CAC All Shares. It trades about -0.12 of its total potential returns per unit of risk. CAC All Shares is currently generating about 0.14 per unit of volatility. If you would invest 854,865 in CAC All Shares on September 17, 2024 and sell it today you would earn a total of 18,101 from holding CAC All Shares or generate 2.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. CAC All Shares
Performance |
Timeline |
GM and CAC All Volatility Contrast
Predicted Return Density |
Returns |
General Motors
Pair trading matchups for GM
CAC All Shares
Pair trading matchups for CAC All
Pair Trading with GM and CAC All
The main advantage of trading using opposite GM and CAC All positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, CAC All 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 CAC All will offset losses from the drop in CAC All's long position.The idea behind General Motors and CAC All Shares 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.CAC All vs. Novatech Industries SA | CAC All vs. Les Hotels Bav | CAC All vs. CMG Cleantech SA | CAC All vs. Hotel Majestic Cannes |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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