Correlation Between GM and Qumei Furniture
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By analyzing existing cross correlation between General Motors and Qumei Furniture Group, you can compare the effects of market volatilities on GM and Qumei Furniture 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 Qumei Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Qumei Furniture.
Diversification Opportunities for GM and Qumei Furniture
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Qumei is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Qumei Furniture Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qumei Furniture Group 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 Qumei Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qumei Furniture Group has no effect on the direction of GM i.e., GM and Qumei Furniture go up and down completely randomly.
Pair Corralation between GM and Qumei Furniture
Allowing for the 90-day total investment horizon GM is expected to generate 2.7 times less return on investment than Qumei Furniture. But when comparing it to its historical volatility, General Motors is 1.57 times less risky than Qumei Furniture. It trades about 0.1 of its potential returns per unit of risk. Qumei Furniture Group is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 232.00 in Qumei Furniture Group on September 3, 2024 and sell it today you would earn a total of 97.00 from holding Qumei Furniture Group or generate 41.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 90.63% |
Values | Daily Returns |
General Motors vs. Qumei Furniture Group
Performance |
Timeline |
General Motors |
Qumei Furniture Group |
GM and Qumei Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Qumei Furniture
The main advantage of trading using opposite GM and Qumei Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Qumei Furniture 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 Qumei Furniture will offset losses from the drop in Qumei Furniture's long position.The idea behind General Motors and Qumei Furniture Group 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.Qumei Furniture vs. Shenzhen Zhongzhuang Construction | Qumei Furniture vs. Sinofibers Technology Co | Qumei Furniture vs. Yuan Longping High tech | Qumei Furniture vs. Ningbo Construction Co |
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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