Correlation Between LiqTech International and Federal Signal
Can any of the company-specific risk be diversified away by investing in both LiqTech International 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 LiqTech International and Federal Signal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LiqTech International and Federal Signal, you can compare the effects of market volatilities on LiqTech International 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 LiqTech International with a short position of Federal Signal. Check out your portfolio center. Please also check ongoing floating volatility patterns of LiqTech International and Federal Signal.
Diversification Opportunities for LiqTech International and Federal Signal
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between LiqTech and Federal is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding LiqTech International and Federal Signal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Signal and LiqTech International 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 LiqTech International 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 LiqTech International i.e., LiqTech International and Federal Signal go up and down completely randomly.
Pair Corralation between LiqTech International and Federal Signal
Given the investment horizon of 90 days LiqTech International is expected to generate 1.66 times more return on investment than Federal Signal. However, LiqTech International is 1.66 times more volatile than Federal Signal. It trades about -0.05 of its potential returns per unit of risk. Federal Signal is currently generating about -0.1 per unit of risk. If you would invest 188.00 in LiqTech International on December 29, 2024 and sell it today you would lose (28.00) from holding LiqTech International or give up 14.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
LiqTech International vs. Federal Signal
Performance |
Timeline |
LiqTech International |
Federal Signal |
LiqTech International and Federal Signal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LiqTech International and Federal Signal
The main advantage of trading using opposite LiqTech International and Federal Signal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LiqTech International 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.LiqTech International vs. China Natural Resources | LiqTech International vs. Seychelle Environmtl | LiqTech International vs. Vow ASA | LiqTech International vs. Eestech |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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