Correlation Between LB Foster and Greenbrier Companies
Can any of the company-specific risk be diversified away by investing in both LB Foster and Greenbrier Companies 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 LB Foster and Greenbrier Companies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LB Foster and Greenbrier Companies, you can compare the effects of market volatilities on LB Foster and Greenbrier Companies 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 LB Foster with a short position of Greenbrier Companies. Check out your portfolio center. Please also check ongoing floating volatility patterns of LB Foster and Greenbrier Companies.
Diversification Opportunities for LB Foster and Greenbrier Companies
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between FSTR and Greenbrier is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding LB Foster and Greenbrier Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Greenbrier Companies and LB Foster 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 LB Foster are associated (or correlated) with Greenbrier Companies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Greenbrier Companies has no effect on the direction of LB Foster i.e., LB Foster and Greenbrier Companies go up and down completely randomly.
Pair Corralation between LB Foster and Greenbrier Companies
Given the investment horizon of 90 days LB Foster is expected to generate 0.73 times more return on investment than Greenbrier Companies. However, LB Foster is 1.37 times less risky than Greenbrier Companies. It trades about 0.1 of its potential returns per unit of risk. Greenbrier Companies is currently generating about 0.02 per unit of risk. If you would invest 1,966 in LB Foster on May 6, 2025 and sell it today you would earn a total of 266.00 from holding LB Foster or generate 13.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LB Foster vs. Greenbrier Companies
Performance |
Timeline |
LB Foster |
Greenbrier Companies |
LB Foster and Greenbrier Companies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LB Foster and Greenbrier Companies
The main advantage of trading using opposite LB Foster and Greenbrier Companies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LB Foster position performs unexpectedly, Greenbrier Companies 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 Greenbrier Companies will offset losses from the drop in Greenbrier Companies' long position.LB Foster vs. Trinity Industries | LB Foster vs. Freightcar America | LB Foster vs. Westinghouse Air Brake | LB Foster vs. Norfolk Southern |
Greenbrier Companies vs. LB Foster | Greenbrier Companies vs. Freightcar America | Greenbrier Companies vs. Westinghouse Air Brake | Greenbrier Companies vs. CSX Corporation |
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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