Correlation Between SUNSEA Telecommunicatio and Guilin Seamild
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By analyzing existing cross correlation between SUNSEA Telecommunications Co and Guilin Seamild Foods, you can compare the effects of market volatilities on SUNSEA Telecommunicatio and Guilin Seamild 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 SUNSEA Telecommunicatio with a short position of Guilin Seamild. Check out your portfolio center. Please also check ongoing floating volatility patterns of SUNSEA Telecommunicatio and Guilin Seamild.
Diversification Opportunities for SUNSEA Telecommunicatio and Guilin Seamild
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SUNSEA and Guilin is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding SUNSEA Telecommunications Co and Guilin Seamild Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guilin Seamild Foods and SUNSEA Telecommunicatio 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 SUNSEA Telecommunications Co are associated (or correlated) with Guilin Seamild. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guilin Seamild Foods has no effect on the direction of SUNSEA Telecommunicatio i.e., SUNSEA Telecommunicatio and Guilin Seamild go up and down completely randomly.
Pair Corralation between SUNSEA Telecommunicatio and Guilin Seamild
Assuming the 90 days trading horizon SUNSEA Telecommunications Co is expected to generate 2.17 times more return on investment than Guilin Seamild. However, SUNSEA Telecommunicatio is 2.17 times more volatile than Guilin Seamild Foods. It trades about 0.09 of its potential returns per unit of risk. Guilin Seamild Foods is currently generating about 0.01 per unit of risk. If you would invest 816.00 in SUNSEA Telecommunications Co on December 25, 2024 and sell it today you would earn a total of 182.00 from holding SUNSEA Telecommunications Co or generate 22.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SUNSEA Telecommunications Co vs. Guilin Seamild Foods
Performance |
Timeline |
SUNSEA Telecommunicatio |
Guilin Seamild Foods |
SUNSEA Telecommunicatio and Guilin Seamild Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SUNSEA Telecommunicatio and Guilin Seamild
The main advantage of trading using opposite SUNSEA Telecommunicatio and Guilin Seamild positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SUNSEA Telecommunicatio position performs unexpectedly, Guilin Seamild 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 Guilin Seamild will offset losses from the drop in Guilin Seamild's long position.The idea behind SUNSEA Telecommunications Co and Guilin Seamild Foods 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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