Correlation Between Yang Ming and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Yang Ming 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 Yang Ming and Chung Hsin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yang Ming Marine and Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Yang Ming 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 Yang Ming with a short position of Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Chung Hsin.
Diversification Opportunities for Yang Ming and Chung Hsin
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Yang and Chung is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine 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 Yang Ming 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 Yang Ming Marine 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 Yang Ming i.e., Yang Ming and Chung Hsin go up and down completely randomly.
Pair Corralation between Yang Ming and Chung Hsin
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.53 times more return on investment than Chung Hsin. However, Yang Ming is 1.53 times more volatile than Chung Hsin Electric Machinery. It trades about 0.16 of its potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about -0.03 per unit of risk. If you would invest 6,200 in Yang Ming Marine on September 12, 2024 and sell it today you would earn a total of 1,720 from holding Yang Ming Marine or generate 27.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Yang Ming Marine |
Chung Hsin Electric |
Yang Ming and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Chung Hsin
The main advantage of trading using opposite Yang Ming and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming 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.Yang Ming vs. Evergreen Marine Corp | Yang Ming vs. Wan Hai Lines | Yang Ming vs. China Airlines | Yang Ming vs. Eva Airways Corp |
Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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