Correlation Between Shan Loong and Taichung Commercial
Can any of the company-specific risk be diversified away by investing in both Shan Loong and Taichung Commercial 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 Taichung Commercial 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 Taichung Commercial Bank, you can compare the effects of market volatilities on Shan Loong and Taichung Commercial 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 Taichung Commercial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shan Loong and Taichung Commercial.
Diversification Opportunities for Shan Loong and Taichung Commercial
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Shan and Taichung is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Shan Loong Transportation Co and Taichung Commercial Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taichung Commercial Bank 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 Taichung Commercial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taichung Commercial Bank has no effect on the direction of Shan Loong i.e., Shan Loong and Taichung Commercial go up and down completely randomly.
Pair Corralation between Shan Loong and Taichung Commercial
Assuming the 90 days trading horizon Shan Loong Transportation Co is expected to under-perform the Taichung Commercial. In addition to that, Shan Loong is 1.19 times more volatile than Taichung Commercial Bank. It trades about -0.65 of its total potential returns per unit of risk. Taichung Commercial Bank is currently generating about -0.03 per unit of volatility. If you would invest 1,880 in Taichung Commercial Bank on September 25, 2024 and sell it today you would lose (15.00) from holding Taichung Commercial Bank or give up 0.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Shan Loong Transportation Co vs. Taichung Commercial Bank
Performance |
Timeline |
Shan Loong Transport |
Taichung Commercial Bank |
Shan Loong and Taichung Commercial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shan Loong and Taichung Commercial
The main advantage of trading using opposite Shan Loong and Taichung Commercial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shan Loong position performs unexpectedly, Taichung Commercial 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 Taichung Commercial will offset losses from the drop in Taichung Commercial's long position.Shan Loong vs. Kerry TJ Logistics | Shan Loong vs. China Container Terminal | Shan Loong vs. Eastern Media International | Shan Loong vs. Taiwan Navigation 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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