Correlation Between Sunwoda Electronic and Leaguer Shenzhen
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By analyzing existing cross correlation between Sunwoda Electronic and Leaguer Shenzhen MicroElectronics, you can compare the effects of market volatilities on Sunwoda Electronic 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 Sunwoda Electronic with a short position of Leaguer Shenzhen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sunwoda Electronic and Leaguer Shenzhen.
Diversification Opportunities for Sunwoda Electronic and Leaguer Shenzhen
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sunwoda and Leaguer is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Sunwoda Electronic 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 Sunwoda Electronic 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 Sunwoda Electronic 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 Sunwoda Electronic i.e., Sunwoda Electronic and Leaguer Shenzhen go up and down completely randomly.
Pair Corralation between Sunwoda Electronic and Leaguer Shenzhen
Assuming the 90 days trading horizon Sunwoda Electronic is expected to generate 1.02 times less return on investment than Leaguer Shenzhen. In addition to that, Sunwoda Electronic is 1.05 times more volatile than Leaguer Shenzhen MicroElectronics. It trades about 0.16 of its total potential returns per unit of risk. Leaguer Shenzhen MicroElectronics is currently generating about 0.17 per unit of volatility. If you would invest 1,833 in Leaguer Shenzhen MicroElectronics on September 20, 2024 and sell it today you would earn a total of 941.00 from holding Leaguer Shenzhen MicroElectronics or generate 51.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sunwoda Electronic vs. Leaguer Shenzhen MicroElectron
Performance |
Timeline |
Sunwoda Electronic |
Leaguer Shenzhen Mic |
Sunwoda Electronic and Leaguer Shenzhen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sunwoda Electronic and Leaguer Shenzhen
The main advantage of trading using opposite Sunwoda Electronic and Leaguer Shenzhen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sunwoda Electronic 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 Sunwoda Electronic 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.
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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