Correlation Between Federal Signal and Fuel Tech
Can any of the company-specific risk be diversified away by investing in both Federal Signal and Fuel Tech 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 Federal Signal and Fuel Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal Signal and Fuel Tech, you can compare the effects of market volatilities on Federal Signal and Fuel Tech 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 Federal Signal with a short position of Fuel Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal Signal and Fuel Tech.
Diversification Opportunities for Federal Signal and Fuel Tech
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Federal and Fuel is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Federal Signal and Fuel Tech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fuel Tech and Federal Signal 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 Federal Signal are associated (or correlated) with Fuel Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fuel Tech has no effect on the direction of Federal Signal i.e., Federal Signal and Fuel Tech go up and down completely randomly.
Pair Corralation between Federal Signal and Fuel Tech
Considering the 90-day investment horizon Federal Signal is expected to under-perform the Fuel Tech. But the stock apears to be less risky and, when comparing its historical volatility, Federal Signal is 1.83 times less risky than Fuel Tech. The stock trades about -0.07 of its potential returns per unit of risk. The Fuel Tech is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 107.00 in Fuel Tech on November 28, 2024 and sell it today you would lose (8.00) from holding Fuel Tech or give up 7.48% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federal Signal vs. Fuel Tech
Performance |
Timeline |
Federal Signal |
Fuel Tech |
Federal Signal and Fuel Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal Signal and Fuel Tech
The main advantage of trading using opposite Federal Signal and Fuel Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal Signal position performs unexpectedly, Fuel Tech 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 Fuel Tech will offset losses from the drop in Fuel Tech's long position.Federal Signal vs. Energy Recovery | Federal Signal vs. CECO Environmental Corp | Federal Signal vs. 374Water Common Stock | Federal Signal vs. CO2 Solutions |
Fuel Tech vs. Federal Signal | Fuel Tech vs. CECO Environmental Corp | Fuel Tech vs. Zurn Elkay Water | Fuel Tech vs. Greenlane Renewables |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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