Correlation Between U Ming and Run Long
Can any of the company-specific risk be diversified away by investing in both U Ming and Run Long 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 U Ming and Run Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between U Ming Marine Transport and Run Long Construction, you can compare the effects of market volatilities on U Ming and Run Long 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 U Ming with a short position of Run Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of U Ming and Run Long.
Diversification Opportunities for U Ming and Run Long
Excellent diversification
The 3 months correlation between 2606 and Run is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding U Ming Marine Transport and Run Long Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Run Long Construction and U 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 U Ming Marine Transport are associated (or correlated) with Run Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Run Long Construction has no effect on the direction of U Ming i.e., U Ming and Run Long go up and down completely randomly.
Pair Corralation between U Ming and Run Long
Assuming the 90 days trading horizon U Ming Marine Transport is expected to generate 0.92 times more return on investment than Run Long. However, U Ming Marine Transport is 1.09 times less risky than Run Long. It trades about -0.28 of its potential returns per unit of risk. Run Long Construction is currently generating about -0.28 per unit of risk. If you would invest 6,030 in U Ming Marine Transport on September 19, 2024 and sell it today you would lose (420.00) from holding U Ming Marine Transport or give up 6.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
U Ming Marine Transport vs. Run Long Construction
Performance |
Timeline |
U Ming Marine |
Run Long Construction |
U Ming and Run Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with U Ming and Run Long
The main advantage of trading using opposite U Ming and Run Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if U Ming position performs unexpectedly, Run Long 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 Run Long will offset losses from the drop in Run Long's long position.The idea behind U Ming Marine Transport and Run Long Construction pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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