Correlation Between Columbus McKinnon and Wabash National
Can any of the company-specific risk be diversified away by investing in both Columbus McKinnon and Wabash National 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 Columbus McKinnon and Wabash National into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbus McKinnon and Wabash National, you can compare the effects of market volatilities on Columbus McKinnon and Wabash National 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 Columbus McKinnon with a short position of Wabash National. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbus McKinnon and Wabash National.
Diversification Opportunities for Columbus McKinnon and Wabash National
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Columbus and Wabash is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Columbus McKinnon and Wabash National in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wabash National and Columbus McKinnon 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 Columbus McKinnon are associated (or correlated) with Wabash National. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wabash National has no effect on the direction of Columbus McKinnon i.e., Columbus McKinnon and Wabash National go up and down completely randomly.
Pair Corralation between Columbus McKinnon and Wabash National
Given the investment horizon of 90 days Columbus McKinnon is expected to generate 0.99 times more return on investment than Wabash National. However, Columbus McKinnon is 1.01 times less risky than Wabash National. It trades about 0.22 of its potential returns per unit of risk. Wabash National is currently generating about 0.15 per unit of risk. If you would invest 3,301 in Columbus McKinnon on August 23, 2024 and sell it today you would earn a total of 413.00 from holding Columbus McKinnon or generate 12.51% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Columbus McKinnon vs. Wabash National
Performance |
| Timeline |
| Columbus McKinnon |
| Wabash National |
Columbus McKinnon and Wabash National Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Columbus McKinnon and Wabash National
The main advantage of trading using opposite Columbus McKinnon and Wabash National positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbus McKinnon position performs unexpectedly, Wabash National 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 Wabash National will offset losses from the drop in Wabash National's long position.| Columbus McKinnon vs. Lindsay | Columbus McKinnon vs. Astec Industries | Columbus McKinnon vs. Shyft Group | Columbus McKinnon vs. AGCO Corporation |
| Wabash National vs. Rev Group | Wabash National vs. Gencor Industries | Wabash National vs. Alamo Group | Wabash National vs. Columbus McKinnon |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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