Correlation Between Limbach Holdings and One Group
Can any of the company-specific risk be diversified away by investing in both Limbach Holdings and One Group 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 Limbach Holdings and One Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Limbach Holdings and One Group Hospitality, you can compare the effects of market volatilities on Limbach Holdings and One Group 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 Limbach Holdings with a short position of One Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Limbach Holdings and One Group.
Diversification Opportunities for Limbach Holdings and One Group
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Limbach and One is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Limbach Holdings and One Group Hospitality in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on One Group Hospitality and Limbach Holdings 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 Limbach Holdings are associated (or correlated) with One Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of One Group Hospitality has no effect on the direction of Limbach Holdings i.e., Limbach Holdings and One Group go up and down completely randomly.
Pair Corralation between Limbach Holdings and One Group
Considering the 90-day investment horizon Limbach Holdings is expected to generate 0.97 times more return on investment than One Group. However, Limbach Holdings is 1.03 times less risky than One Group. It trades about 0.27 of its potential returns per unit of risk. One Group Hospitality is currently generating about 0.06 per unit of risk. If you would invest 7,597 in Limbach Holdings on September 1, 2024 and sell it today you would earn a total of 2,352 from holding Limbach Holdings or generate 30.96% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Limbach Holdings vs. One Group Hospitality
Performance |
| Timeline |
| Limbach Holdings |
| One Group Hospitality |
Limbach Holdings and One Group Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Limbach Holdings and One Group
The main advantage of trading using opposite Limbach Holdings and One Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Limbach Holdings position performs unexpectedly, One Group 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 One Group will offset losses from the drop in One Group's long position.| Limbach Holdings vs. MYR Group | Limbach Holdings vs. Granite Construction Incorporated | Limbach Holdings vs. Construction Partners | Limbach Holdings vs. Great Lakes Dredge |
| One Group vs. FAT Brands | One Group vs. Potbelly Co | One Group vs. BJs Restaurants | One Group vs. Rave Restaurant Group |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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