Correlation Between Evergreen Marine and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Evergreen Marine and Chung Hsin 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 Chung Hsin 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 Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Evergreen Marine and Chung Hsin 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 Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Evergreen Marine and Chung Hsin.
Diversification Opportunities for Evergreen Marine and Chung Hsin
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Evergreen and Chung is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Evergreen Marine Corp and Chung Hsin Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hsin Electric 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 Chung Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hsin Electric has no effect on the direction of Evergreen Marine i.e., Evergreen Marine and Chung Hsin go up and down completely randomly.
Pair Corralation between Evergreen Marine and Chung Hsin
Assuming the 90 days trading horizon Evergreen Marine Corp is expected to under-perform the Chung Hsin. In addition to that, Evergreen Marine is 1.74 times more volatile than Chung Hsin Electric Machinery. It trades about -0.16 of its total potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about 0.06 per unit of volatility. If you would invest 15,300 in Chung Hsin Electric Machinery on October 14, 2024 and sell it today you would earn a total of 200.00 from holding Chung Hsin Electric Machinery or generate 1.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Evergreen Marine Corp vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Evergreen Marine Corp |
Chung Hsin Electric |
Evergreen Marine and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Evergreen Marine and Chung Hsin
The main advantage of trading using opposite Evergreen Marine and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Evergreen Marine position performs unexpectedly, Chung Hsin 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 Chung Hsin will offset losses from the drop in Chung Hsin'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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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