Correlation Between Yang Ming and TECO Electric
Can any of the company-specific risk be diversified away by investing in both Yang Ming and TECO Electric 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 TECO Electric 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 TECO Electric Machinery, you can compare the effects of market volatilities on Yang Ming and TECO Electric 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 TECO Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and TECO Electric.
Diversification Opportunities for Yang Ming and TECO Electric
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Yang and TECO is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and TECO Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TECO Electric Machinery 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 TECO Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TECO Electric Machinery has no effect on the direction of Yang Ming i.e., Yang Ming and TECO Electric go up and down completely randomly.
Pair Corralation between Yang Ming and TECO Electric
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 1.79 times more return on investment than TECO Electric. However, Yang Ming is 1.79 times more volatile than TECO Electric Machinery. It trades about 0.17 of its potential returns per unit of risk. TECO Electric Machinery is currently generating about 0.06 per unit of risk. If you would invest 6,170 in Yang Ming Marine on September 14, 2024 and sell it today you would earn a total of 1,870 from holding Yang Ming Marine or generate 30.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. TECO Electric Machinery
Performance |
Timeline |
Yang Ming Marine |
TECO Electric Machinery |
Yang Ming and TECO Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and TECO Electric
The main advantage of trading using opposite Yang Ming and TECO Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, TECO Electric 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 TECO Electric will offset losses from the drop in TECO Electric's long position.Yang Ming vs. Wan Hai Lines | Yang Ming vs. U Ming Marine Transport | Yang Ming vs. Taiwan Navigation Co | Yang Ming vs. China Airlines |
TECO Electric vs. Yang Ming Marine | TECO Electric vs. Wan Hai Lines | TECO Electric vs. U Ming Marine Transport | TECO Electric vs. Taiwan Navigation Co |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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