Correlation Between Shan Loong and SS Healthcare
Can any of the company-specific risk be diversified away by investing in both Shan Loong and SS Healthcare at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Shan Loong and SS Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shan Loong Transportation Co and SS Healthcare Holding, you can compare the effects of market volatilities on Shan Loong and SS Healthcare 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 Shan Loong with a short position of SS Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shan Loong and SS Healthcare.
Diversification Opportunities for Shan Loong and SS Healthcare
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Shan and 4198 is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Shan Loong Transportation Co and SS Healthcare Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SS Healthcare Holding and Shan Loong 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 Shan Loong Transportation Co are associated (or correlated) with SS Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SS Healthcare Holding has no effect on the direction of Shan Loong i.e., Shan Loong and SS Healthcare go up and down completely randomly.
Pair Corralation between Shan Loong and SS Healthcare
Assuming the 90 days trading horizon Shan Loong Transportation Co is expected to under-perform the SS Healthcare. But the stock apears to be less risky and, when comparing its historical volatility, Shan Loong Transportation Co is 2.61 times less risky than SS Healthcare. The stock trades about -0.32 of its potential returns per unit of risk. The SS Healthcare Holding is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 3,225 in SS Healthcare Holding on October 5, 2024 and sell it today you would earn a total of 120.00 from holding SS Healthcare Holding or generate 3.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Shan Loong Transportation Co vs. SS Healthcare Holding
Performance |
Timeline |
Shan Loong Transport |
SS Healthcare Holding |
Shan Loong and SS Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shan Loong and SS Healthcare
The main advantage of trading using opposite Shan Loong and SS Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shan Loong position performs unexpectedly, SS Healthcare 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 SS Healthcare will offset losses from the drop in SS Healthcare's long position.Shan Loong vs. Ability Enterprise Co | Shan Loong vs. Sunplus Technology Co | Shan Loong vs. ALi Corp | Shan Loong vs. Edom Technology Co |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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