Correlation Between GM and China Minsh
Can any of the company-specific risk be diversified away by investing in both GM and China Minsh 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 China Minsh into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and China Minsh, you can compare the effects of market volatilities on GM and China Minsh 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 China Minsh. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and China Minsh.
Diversification Opportunities for GM and China Minsh
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GM and China is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and China Minsh in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Minsh 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 China Minsh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Minsh has no effect on the direction of GM i.e., GM and China Minsh go up and down completely randomly.
Pair Corralation between GM and China Minsh
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the China Minsh. In addition to that, GM is 1.19 times more volatile than China Minsh. It trades about -0.07 of its total potential returns per unit of risk. China Minsh is currently generating about 0.11 per unit of volatility. If you would invest 388.00 in China Minsh on September 27, 2024 and sell it today you would earn a total of 10.00 from holding China Minsh or generate 2.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
General Motors vs. China Minsh
Performance |
Timeline |
General Motors |
China Minsh |
GM and China Minsh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and China Minsh
The main advantage of trading using opposite GM and China Minsh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, China Minsh 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 China Minsh will offset losses from the drop in China Minsh's long position.The idea behind General Motors and China Minsh 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.China Minsh vs. Banco Bradesco SA | China Minsh vs. Itau Unibanco Banco | China Minsh vs. Deutsche Bank AG | China Minsh vs. Banco Santander Brasil |
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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