Correlation Between Atmus Filtration and Federal Signal
Can any of the company-specific risk be diversified away by investing in both Atmus Filtration and Federal Signal 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 Atmus Filtration and Federal Signal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Atmus Filtration Technologies and Federal Signal, you can compare the effects of market volatilities on Atmus Filtration and Federal Signal 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 Atmus Filtration with a short position of Federal Signal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Atmus Filtration and Federal Signal.
Diversification Opportunities for Atmus Filtration and Federal Signal
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Atmus and Federal is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Atmus Filtration Technologies and Federal Signal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Signal and Atmus Filtration 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 Atmus Filtration Technologies are associated (or correlated) with Federal Signal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Signal has no effect on the direction of Atmus Filtration i.e., Atmus Filtration and Federal Signal go up and down completely randomly.
Pair Corralation between Atmus Filtration and Federal Signal
Given the investment horizon of 90 days Atmus Filtration Technologies is expected to generate 0.86 times more return on investment than Federal Signal. However, Atmus Filtration Technologies is 1.16 times less risky than Federal Signal. It trades about -0.01 of its potential returns per unit of risk. Federal Signal is currently generating about -0.13 per unit of risk. If you would invest 3,868 in Atmus Filtration Technologies on December 28, 2024 and sell it today you would lose (112.00) from holding Atmus Filtration Technologies or give up 2.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Atmus Filtration Technologies vs. Federal Signal
Performance |
Timeline |
Atmus Filtration Tec |
Federal Signal |
Atmus Filtration and Federal Signal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Atmus Filtration and Federal Signal
The main advantage of trading using opposite Atmus Filtration and Federal Signal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Atmus Filtration position performs unexpectedly, Federal Signal 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 Federal Signal will offset losses from the drop in Federal Signal's long position.Atmus Filtration vs. Park Electrochemical | Atmus Filtration vs. Hawkins | Atmus Filtration vs. Braskem SA Class | Atmus Filtration vs. National Beverage Corp |
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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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
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