Correlation Between Evergreen Marine and Logah Technology
Can any of the company-specific risk be diversified away by investing in both Evergreen Marine and Logah Technology 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 Evergreen Marine and Logah Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Evergreen Marine Corp and Logah Technology Corp, you can compare the effects of market volatilities on Evergreen Marine and Logah Technology 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 Evergreen Marine with a short position of Logah Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Evergreen Marine and Logah Technology.
Diversification Opportunities for Evergreen Marine and Logah Technology
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Evergreen and Logah is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Evergreen Marine Corp and Logah Technology Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logah Technology Corp and Evergreen Marine 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 Evergreen Marine Corp are associated (or correlated) with Logah Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logah Technology Corp has no effect on the direction of Evergreen Marine i.e., Evergreen Marine and Logah Technology go up and down completely randomly.
Pair Corralation between Evergreen Marine and Logah Technology
Assuming the 90 days trading horizon Evergreen Marine Corp is expected to generate 0.33 times more return on investment than Logah Technology. However, Evergreen Marine Corp is 3.03 times less risky than Logah Technology. It trades about 0.05 of its potential returns per unit of risk. Logah Technology Corp is currently generating about -0.21 per unit of risk. If you would invest 22,050 in Evergreen Marine Corp on October 11, 2024 and sell it today you would earn a total of 850.00 from holding Evergreen Marine Corp or generate 3.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Evergreen Marine Corp vs. Logah Technology Corp
Performance |
Timeline |
Evergreen Marine Corp |
Logah Technology Corp |
Evergreen Marine and Logah Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Evergreen Marine and Logah Technology
The main advantage of trading using opposite Evergreen Marine and Logah Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Evergreen Marine position performs unexpectedly, Logah Technology 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 Logah Technology will offset losses from the drop in Logah Technology's long position.Evergreen Marine vs. Yang Ming Marine | Evergreen Marine vs. Wan Hai Lines | Evergreen Marine vs. Eva Airways Corp | Evergreen Marine vs. China Airlines |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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