Correlation Between GM and Leaguer Shenzhen
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By analyzing existing cross correlation between General Motors and Leaguer Shenzhen MicroElectronics, you can compare the effects of market volatilities on GM and Leaguer Shenzhen 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 Leaguer Shenzhen. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Leaguer Shenzhen.
Diversification Opportunities for GM and Leaguer Shenzhen
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GM and Leaguer is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Leaguer Shenzhen MicroElectron in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leaguer Shenzhen Mic 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 Leaguer Shenzhen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leaguer Shenzhen Mic has no effect on the direction of GM i.e., GM and Leaguer Shenzhen go up and down completely randomly.
Pair Corralation between GM and Leaguer Shenzhen
Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Leaguer Shenzhen. But the stock apears to be less risky and, when comparing its historical volatility, General Motors is 1.01 times less risky than Leaguer Shenzhen. The stock trades about -0.06 of its potential returns per unit of risk. The Leaguer Shenzhen MicroElectronics is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 2,939 in Leaguer Shenzhen MicroElectronics on December 29, 2024 and sell it today you would earn a total of 18.00 from holding Leaguer Shenzhen MicroElectronics or generate 0.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.08% |
Values | Daily Returns |
General Motors vs. Leaguer Shenzhen MicroElectron
Performance |
Timeline |
General Motors |
Leaguer Shenzhen Mic |
GM and Leaguer Shenzhen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Leaguer Shenzhen
The main advantage of trading using opposite GM and Leaguer Shenzhen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Leaguer Shenzhen 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 Leaguer Shenzhen will offset losses from the drop in Leaguer Shenzhen's long position.The idea behind General Motors and Leaguer Shenzhen MicroElectronics 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.Leaguer Shenzhen vs. Dingli Communications Corp | Leaguer Shenzhen vs. Aba Chemicals Corp | Leaguer Shenzhen vs. Shenzhen Noposion Agrochemicals | Leaguer Shenzhen vs. Do Fluoride Chemicals 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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