Correlation Between Chung Lien and Tai Tung
Can any of the company-specific risk be diversified away by investing in both Chung Lien and Tai Tung 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 Chung Lien and Tai Tung into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Lien Transportation and Tai Tung Communication, you can compare the effects of market volatilities on Chung Lien and Tai Tung 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 Chung Lien with a short position of Tai Tung. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Lien and Tai Tung.
Diversification Opportunities for Chung Lien and Tai Tung
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between Chung and Tai is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding Chung Lien Transportation and Tai Tung Communication in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tai Tung Communication and Chung Lien 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 Chung Lien Transportation are associated (or correlated) with Tai Tung. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tai Tung Communication has no effect on the direction of Chung Lien i.e., Chung Lien and Tai Tung go up and down completely randomly.
Pair Corralation between Chung Lien and Tai Tung
Assuming the 90 days trading horizon Chung Lien Transportation is expected to under-perform the Tai Tung. But the stock apears to be less risky and, when comparing its historical volatility, Chung Lien Transportation is 1.16 times less risky than Tai Tung. The stock trades about -0.05 of its potential returns per unit of risk. The Tai Tung Communication is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 2,430 in Tai Tung Communication on December 29, 2024 and sell it today you would lose (50.00) from holding Tai Tung Communication or give up 2.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Lien Transportation vs. Tai Tung Communication
Performance |
Timeline |
Chung Lien Transportation |
Tai Tung Communication |
Chung Lien and Tai Tung Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Lien and Tai Tung
The main advantage of trading using opposite Chung Lien and Tai Tung positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Lien position performs unexpectedly, Tai Tung 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 Tai Tung will offset losses from the drop in Tai Tung's long position.Chung Lien vs. Kerry TJ Logistics | Chung Lien vs. Shan Loong Transportation Co | Chung Lien vs. Gigastone | Chung Lien vs. Panram International |
Tai Tung vs. Zinwell | Tai Tung vs. Mercuries Life Insurance | Tai Tung vs. Darwin Precisions Corp | Tai Tung vs. Jinli Group Holdings |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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