Correlation Between Concrete Pumping and KLX Energy
Can any of the company-specific risk be diversified away by investing in both Concrete Pumping and KLX Energy 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 KLX Energy 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 KLX Energy Services, you can compare the effects of market volatilities on Concrete Pumping and KLX Energy 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 KLX Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Concrete Pumping and KLX Energy.
Diversification Opportunities for Concrete Pumping and KLX Energy
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Concrete and KLX is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Concrete Pumping Holdings and KLX Energy Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KLX Energy Services 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 KLX Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KLX Energy Services has no effect on the direction of Concrete Pumping i.e., Concrete Pumping and KLX Energy go up and down completely randomly.
Pair Corralation between Concrete Pumping and KLX Energy
Given the investment horizon of 90 days Concrete Pumping Holdings is expected to generate 0.65 times more return on investment than KLX Energy. However, Concrete Pumping Holdings is 1.53 times less risky than KLX Energy. It trades about 0.48 of its potential returns per unit of risk. KLX Energy Services is currently generating about -0.31 per unit of risk. If you would invest 552.00 in Concrete Pumping Holdings on September 19, 2024 and sell it today you would earn a total of 162.00 from holding Concrete Pumping Holdings or generate 29.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Concrete Pumping Holdings vs. KLX Energy Services
Performance |
Timeline |
Concrete Pumping Holdings |
KLX Energy Services |
Concrete Pumping and KLX Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Concrete Pumping and KLX Energy
The main advantage of trading using opposite Concrete Pumping and KLX Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Concrete Pumping position performs unexpectedly, KLX Energy 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 KLX Energy will offset losses from the drop in KLX Energy'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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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