Correlation Between Columbus McKinnon and Gencor Industries
Can any of the company-specific risk be diversified away by investing in both Columbus McKinnon and Gencor Industries 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 Gencor Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbus McKinnon and Gencor Industries, you can compare the effects of market volatilities on Columbus McKinnon and Gencor Industries 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 Gencor Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbus McKinnon and Gencor Industries.
Diversification Opportunities for Columbus McKinnon and Gencor Industries
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Columbus and Gencor is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Columbus McKinnon and Gencor Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gencor Industries 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 Gencor Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gencor Industries has no effect on the direction of Columbus McKinnon i.e., Columbus McKinnon and Gencor Industries go up and down completely randomly.
Pair Corralation between Columbus McKinnon and Gencor Industries
Given the investment horizon of 90 days Columbus McKinnon is expected to under-perform the Gencor Industries. In addition to that, Columbus McKinnon is 1.97 times more volatile than Gencor Industries. It trades about -0.18 of its total potential returns per unit of risk. Gencor Industries is currently generating about -0.16 per unit of volatility. If you would invest 1,722 in Gencor Industries on December 29, 2024 and sell it today you would lose (466.00) from holding Gencor Industries or give up 27.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Columbus McKinnon vs. Gencor Industries
Performance |
Timeline |
Columbus McKinnon |
Gencor Industries |
Columbus McKinnon and Gencor Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbus McKinnon and Gencor Industries
The main advantage of trading using opposite Columbus McKinnon and Gencor Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbus McKinnon position performs unexpectedly, Gencor Industries 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 Gencor Industries will offset losses from the drop in Gencor Industries' long position.Columbus McKinnon vs. Lindsay | Columbus McKinnon vs. Astec Industries | Columbus McKinnon vs. Shyft Group | Columbus McKinnon vs. AGCO Corporation |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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