Correlation Between Shan Loong and Tainet Communication
Can any of the company-specific risk be diversified away by investing in both Shan Loong and Tainet Communication 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 Tainet Communication 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 Tainet Communication System, you can compare the effects of market volatilities on Shan Loong and Tainet Communication 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 Tainet Communication. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shan Loong and Tainet Communication.
Diversification Opportunities for Shan Loong and Tainet Communication
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Shan and Tainet is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Shan Loong Transportation Co and Tainet Communication System in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tainet Communication 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 Tainet Communication. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tainet Communication has no effect on the direction of Shan Loong i.e., Shan Loong and Tainet Communication go up and down completely randomly.
Pair Corralation between Shan Loong and Tainet Communication
Assuming the 90 days trading horizon Shan Loong Transportation Co is expected to under-perform the Tainet Communication. In addition to that, Shan Loong is 1.36 times more volatile than Tainet Communication System. It trades about -0.41 of its total potential returns per unit of risk. Tainet Communication System is currently generating about -0.13 per unit of volatility. If you would invest 8,060 in Tainet Communication System on September 29, 2024 and sell it today you would lose (260.00) from holding Tainet Communication System or give up 3.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Shan Loong Transportation Co vs. Tainet Communication System
Performance |
Timeline |
Shan Loong Transport |
Tainet Communication |
Shan Loong and Tainet Communication Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shan Loong and Tainet Communication
The main advantage of trading using opposite Shan Loong and Tainet Communication positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shan Loong position performs unexpectedly, Tainet Communication 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 Tainet Communication will offset losses from the drop in Tainet Communication's long position.Shan Loong vs. Merida Industry Co | Shan Loong vs. Cheng Shin Rubber | Shan Loong vs. Uni President Enterprises Corp | Shan Loong vs. Pou Chen Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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