Correlation Between GM and Asia Green
Can any of the company-specific risk be diversified away by investing in both GM and Asia Green 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 Asia Green into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Asia Green Energy, you can compare the effects of market volatilities on GM and Asia Green 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 Asia Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Asia Green.
Diversification Opportunities for GM and Asia Green
-0.88 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between GM and Asia is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Asia Green Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asia Green 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 Asia Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asia Green Energy has no effect on the direction of GM i.e., GM and Asia Green go up and down completely randomly.
Pair Corralation between GM and Asia Green
Allowing for the 90-day total investment horizon GM is expected to generate 64.6 times less return on investment than Asia Green. But when comparing it to its historical volatility, General Motors is 39.82 times less risky than Asia Green. It trades about 0.05 of its potential returns per unit of risk. Asia Green Energy is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 158.00 in Asia Green Energy on September 14, 2024 and sell it today you would lose (29.00) from holding Asia Green Energy or give up 18.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 97.62% |
Values | Daily Returns |
General Motors vs. Asia Green Energy
Performance |
Timeline |
General Motors |
Asia Green Energy |
GM and Asia Green Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Asia Green
The main advantage of trading using opposite GM and Asia Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Asia Green 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 Asia Green will offset losses from the drop in Asia Green's long position.The idea behind General Motors and Asia Green 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.Asia Green vs. Union Petrochemical Public | Asia Green vs. Eureka Design Public | Asia Green vs. The Erawan Group | Asia Green vs. Jay Mart Public |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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