Correlation Between GM and Global Green
Can any of the company-specific risk be diversified away by investing in both GM and Global 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 Global 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 Global Green Chemicals, you can compare the effects of market volatilities on GM and Global 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 Global Green. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Global Green.
Diversification Opportunities for GM and Global Green
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between GM and Global is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Global Green Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Green Chemicals 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 Global Green. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Green Chemicals has no effect on the direction of GM i.e., GM and Global Green go up and down completely randomly.
Pair Corralation between GM and Global Green
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Global Green. In addition to that, GM is 1.7 times more volatile than Global Green Chemicals. It trades about -0.16 of its total potential returns per unit of risk. Global Green Chemicals is currently generating about -0.01 per unit of volatility. If you would invest 460.00 in Global Green Chemicals on September 14, 2024 and sell it today you would lose (2.00) from holding Global Green Chemicals or give up 0.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
General Motors vs. Global Green Chemicals
Performance |
Timeline |
General Motors |
Global Green Chemicals |
GM and Global Green Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Global Green
The main advantage of trading using opposite GM and Global Green positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Global 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 Global Green will offset losses from the drop in Global Green's long position.The idea behind General Motors and Global Green Chemicals 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.Global Green vs. Ichitan Group Public | Global Green vs. Indorama Ventures PCL | Global Green vs. BCPG Public | Global Green vs. IRPC 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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