Correlation Between Concrete Pumping and Ming Shing
Can any of the company-specific risk be diversified away by investing in both Concrete Pumping and Ming Shing 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 Concrete Pumping and Ming Shing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Concrete Pumping Holdings and Ming Shing Group, you can compare the effects of market volatilities on Concrete Pumping and Ming Shing 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 Concrete Pumping with a short position of Ming Shing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Concrete Pumping and Ming Shing.
Diversification Opportunities for Concrete Pumping and Ming Shing
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Concrete and Ming is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Concrete Pumping Holdings and Ming Shing Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ming Shing Group and Concrete Pumping 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 Concrete Pumping Holdings are associated (or correlated) with Ming Shing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ming Shing Group has no effect on the direction of Concrete Pumping i.e., Concrete Pumping and Ming Shing go up and down completely randomly.
Pair Corralation between Concrete Pumping and Ming Shing
Given the investment horizon of 90 days Concrete Pumping Holdings is expected to under-perform the Ming Shing. But the stock apears to be less risky and, when comparing its historical volatility, Concrete Pumping Holdings is 4.29 times less risky than Ming Shing. The stock trades about -0.25 of its potential returns per unit of risk. The Ming Shing Group is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 608.00 in Ming Shing Group on October 12, 2024 and sell it today you would lose (91.00) from holding Ming Shing Group or give up 14.97% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Concrete Pumping Holdings vs. Ming Shing Group
Performance |
Timeline |
Concrete Pumping Holdings |
Ming Shing Group |
Concrete Pumping and Ming Shing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Concrete Pumping and Ming Shing
The main advantage of trading using opposite Concrete Pumping and Ming Shing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Concrete Pumping position performs unexpectedly, Ming Shing 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 Ming Shing will offset losses from the drop in Ming Shing's long position.Concrete Pumping vs. ACS Actividades de | Concrete Pumping vs. ACS Actividades De | Concrete Pumping vs. Badger Infrastructure Solutions | Concrete Pumping vs. MYR Group |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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