Correlation Between Axalta Coating and Lincoln Electric
Can any of the company-specific risk be diversified away by investing in both Axalta Coating and Lincoln Electric 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 Axalta Coating and Lincoln Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Axalta Coating Systems and Lincoln Electric Holdings, you can compare the effects of market volatilities on Axalta Coating and Lincoln Electric 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 Axalta Coating with a short position of Lincoln Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Axalta Coating and Lincoln Electric.
Diversification Opportunities for Axalta Coating and Lincoln Electric
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Axalta and Lincoln is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Axalta Coating Systems and Lincoln Electric Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lincoln Electric Holdings and Axalta Coating 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 Axalta Coating Systems are associated (or correlated) with Lincoln Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lincoln Electric Holdings has no effect on the direction of Axalta Coating i.e., Axalta Coating and Lincoln Electric go up and down completely randomly.
Pair Corralation between Axalta Coating and Lincoln Electric
Given the investment horizon of 90 days Axalta Coating Systems is expected to under-perform the Lincoln Electric. But the stock apears to be less risky and, when comparing its historical volatility, Axalta Coating Systems is 1.04 times less risky than Lincoln Electric. The stock trades about -0.07 of its potential returns per unit of risk. The Lincoln Electric Holdings is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 19,268 in Lincoln Electric Holdings on September 27, 2024 and sell it today you would lose (268.00) from holding Lincoln Electric Holdings or give up 1.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Axalta Coating Systems vs. Lincoln Electric Holdings
Performance |
Timeline |
Axalta Coating Systems |
Lincoln Electric Holdings |
Axalta Coating and Lincoln Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Axalta Coating and Lincoln Electric
The main advantage of trading using opposite Axalta Coating and Lincoln Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Axalta Coating position performs unexpectedly, Lincoln Electric 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 Lincoln Electric will offset losses from the drop in Lincoln Electric's long position.Axalta Coating vs. Avient Corp | Axalta Coating vs. H B Fuller | Axalta Coating vs. Quaker Chemical | Axalta Coating vs. Cabot |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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