Correlation Between Yang Ming and Test Research
Can any of the company-specific risk be diversified away by investing in both Yang Ming and Test Research 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 Test Research 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 Test Research, you can compare the effects of market volatilities on Yang Ming and Test Research 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 Test Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yang Ming and Test Research.
Diversification Opportunities for Yang Ming and Test Research
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Yang and Test is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Yang Ming Marine and Test Research in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Test Research 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 Test Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Test Research has no effect on the direction of Yang Ming i.e., Yang Ming and Test Research go up and down completely randomly.
Pair Corralation between Yang Ming and Test Research
Assuming the 90 days trading horizon Yang Ming Marine is expected to generate 0.99 times more return on investment than Test Research. However, Yang Ming Marine is 1.01 times less risky than Test Research. It trades about 0.16 of its potential returns per unit of risk. Test Research 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 1,690 from holding Yang Ming Marine or generate 27.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yang Ming Marine vs. Test Research
Performance |
Timeline |
Yang Ming Marine |
Test Research |
Yang Ming and Test Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yang Ming and Test Research
The main advantage of trading using opposite Yang Ming and Test Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yang Ming position performs unexpectedly, Test Research 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 Test Research will offset losses from the drop in Test Research'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 |
Test Research vs. Wah Lee Industrial | Test Research vs. Huaku Development Co | Test Research vs. Topco Scientific Co | Test Research vs. Standard Foods 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.
Other Complementary Tools
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Stocks Directory Find actively traded stocks across global markets | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |