Correlation Between Chongqing Changan and Shenzhen Sunlord
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By analyzing existing cross correlation between Chongqing Changan Automobile and Shenzhen Sunlord Electronics, you can compare the effects of market volatilities on Chongqing Changan and Shenzhen Sunlord 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 Chongqing Changan with a short position of Shenzhen Sunlord. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chongqing Changan and Shenzhen Sunlord.
Diversification Opportunities for Chongqing Changan and Shenzhen Sunlord
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Chongqing and Shenzhen is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Chongqing Changan Automobile and Shenzhen Sunlord Electronics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shenzhen Sunlord Ele and Chongqing Changan 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 Chongqing Changan Automobile are associated (or correlated) with Shenzhen Sunlord. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shenzhen Sunlord Ele has no effect on the direction of Chongqing Changan i.e., Chongqing Changan and Shenzhen Sunlord go up and down completely randomly.
Pair Corralation between Chongqing Changan and Shenzhen Sunlord
Assuming the 90 days trading horizon Chongqing Changan is expected to generate 2.2 times less return on investment than Shenzhen Sunlord. In addition to that, Chongqing Changan is 1.1 times more volatile than Shenzhen Sunlord Electronics. It trades about 0.09 of its total potential returns per unit of risk. Shenzhen Sunlord Electronics is currently generating about 0.23 per unit of volatility. If you would invest 2,296 in Shenzhen Sunlord Electronics on September 22, 2024 and sell it today you would earn a total of 979.00 from holding Shenzhen Sunlord Electronics or generate 42.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Chongqing Changan Automobile vs. Shenzhen Sunlord Electronics
Performance |
Timeline |
Chongqing Changan |
Shenzhen Sunlord Ele |
Chongqing Changan and Shenzhen Sunlord Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chongqing Changan and Shenzhen Sunlord
The main advantage of trading using opposite Chongqing Changan and Shenzhen Sunlord positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chongqing Changan position performs unexpectedly, Shenzhen Sunlord 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 Shenzhen Sunlord will offset losses from the drop in Shenzhen Sunlord's long position.The idea behind Chongqing Changan Automobile and Shenzhen Sunlord Electronics 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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