Correlation Between Lincoln Electric and Kennametal
Can any of the company-specific risk be diversified away by investing in both Lincoln Electric and Kennametal 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 Lincoln Electric and Kennametal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lincoln Electric Holdings and Kennametal, you can compare the effects of market volatilities on Lincoln Electric and Kennametal 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 Lincoln Electric with a short position of Kennametal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lincoln Electric and Kennametal.
Diversification Opportunities for Lincoln Electric and Kennametal
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lincoln and Kennametal is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Lincoln Electric Holdings and Kennametal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kennametal and Lincoln Electric 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 Lincoln Electric Holdings are associated (or correlated) with Kennametal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kennametal has no effect on the direction of Lincoln Electric i.e., Lincoln Electric and Kennametal go up and down completely randomly.
Pair Corralation between Lincoln Electric and Kennametal
Given the investment horizon of 90 days Lincoln Electric Holdings is expected to generate 1.32 times more return on investment than Kennametal. However, Lincoln Electric is 1.32 times more volatile than Kennametal. It trades about 0.02 of its potential returns per unit of risk. Kennametal is currently generating about -0.08 per unit of risk. If you would invest 18,749 in Lincoln Electric Holdings on December 30, 2024 and sell it today you would earn a total of 280.00 from holding Lincoln Electric Holdings or generate 1.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lincoln Electric Holdings vs. Kennametal
Performance |
Timeline |
Lincoln Electric Holdings |
Kennametal |
Lincoln Electric and Kennametal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lincoln Electric and Kennametal
The main advantage of trading using opposite Lincoln Electric and Kennametal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lincoln Electric position performs unexpectedly, Kennametal 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 Kennametal will offset losses from the drop in Kennametal's long position.Lincoln Electric vs. Kennametal | Lincoln Electric vs. Toro Co | Lincoln Electric vs. Snap On | Lincoln Electric vs. RBC Bearings Incorporated |
Kennametal vs. Hillman Solutions Corp | Kennametal vs. AB SKF | Kennametal vs. Lincoln Electric Holdings | Kennametal vs. Toro Co |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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