Correlation Between GM and Gushen
Can any of the company-specific risk be diversified away by investing in both GM and Gushen 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 Gushen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Gushen Inc, you can compare the effects of market volatilities on GM and Gushen 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 Gushen. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Gushen.
Diversification Opportunities for GM and Gushen
Weak diversification
The 3 months correlation between GM and Gushen is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Gushen Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gushen Inc 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 Gushen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gushen Inc has no effect on the direction of GM i.e., GM and Gushen go up and down completely randomly.
Pair Corralation between GM and Gushen
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.32 times more return on investment than Gushen. However, GM is 1.32 times more volatile than Gushen Inc. It trades about 0.04 of its potential returns per unit of risk. Gushen Inc is currently generating about 0.01 per unit of risk. If you would invest 3,848 in General Motors on October 23, 2024 and sell it today you would earn a total of 1,249 from holding General Motors or generate 32.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 22.27% |
Values | Daily Returns |
General Motors vs. Gushen Inc
Performance |
Timeline |
General Motors |
Gushen Inc |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
GM and Gushen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Gushen
The main advantage of trading using opposite GM and Gushen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Gushen 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 Gushen will offset losses from the drop in Gushen's long position.The idea behind General Motors and Gushen Inc 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.Gushen vs. AG Mortgage Investment | Gushen vs. Royalty Management Holding | Gushen vs. SLR Investment Corp | Gushen vs. Virtus Investment Partners, |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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