Correlation Between Stag Industrial and FORWARD AIR
Can any of the company-specific risk be diversified away by investing in both Stag Industrial and FORWARD AIR 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 Stag Industrial and FORWARD AIR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stag Industrial and FORWARD AIR P, you can compare the effects of market volatilities on Stag Industrial and FORWARD AIR 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 Stag Industrial with a short position of FORWARD AIR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stag Industrial and FORWARD AIR.
Diversification Opportunities for Stag Industrial and FORWARD AIR
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Stag and FORWARD is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Stag Industrial and FORWARD AIR P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FORWARD AIR P and Stag Industrial 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 Stag Industrial are associated (or correlated) with FORWARD AIR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FORWARD AIR P has no effect on the direction of Stag Industrial i.e., Stag Industrial and FORWARD AIR go up and down completely randomly.
Pair Corralation between Stag Industrial and FORWARD AIR
Assuming the 90 days trading horizon Stag Industrial is expected to generate 7.88 times less return on investment than FORWARD AIR. But when comparing it to its historical volatility, Stag Industrial is 3.03 times less risky than FORWARD AIR. It trades about 0.09 of its potential returns per unit of risk. FORWARD AIR P is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,250 in FORWARD AIR P on April 22, 2025 and sell it today you would earn a total of 1,065 from holding FORWARD AIR P or generate 85.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stag Industrial vs. FORWARD AIR P
Performance |
Timeline |
Stag Industrial |
FORWARD AIR P |
Stag Industrial and FORWARD AIR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stag Industrial and FORWARD AIR
The main advantage of trading using opposite Stag Industrial and FORWARD AIR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stag Industrial position performs unexpectedly, FORWARD AIR 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 FORWARD AIR will offset losses from the drop in FORWARD AIR's long position.Stag Industrial vs. BJs Restaurants | Stag Industrial vs. SPORTING | Stag Industrial vs. Transportadora de Gas | Stag Industrial vs. Columbia Sportswear |
FORWARD AIR vs. Regions Financial | FORWARD AIR vs. Cincinnati Financial Corp | FORWARD AIR vs. Odyssean Investment Trust | FORWARD AIR vs. Erste Group Bank |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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