Correlation Between LB Foster and NYSE Composite
Can any of the company-specific risk be diversified away by investing in both LB Foster and NYSE Composite 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 NYSE Composite into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LB Foster and NYSE Composite, you can compare the effects of market volatilities on LB Foster and NYSE Composite 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 NYSE Composite. Check out your portfolio center. Please also check ongoing floating volatility patterns of LB Foster and NYSE Composite.
Diversification Opportunities for LB Foster and NYSE Composite
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FSTR and NYSE is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding LB Foster and NYSE Composite in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NYSE Composite 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 NYSE Composite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NYSE Composite has no effect on the direction of LB Foster i.e., LB Foster and NYSE Composite go up and down completely randomly.
Pair Corralation between LB Foster and NYSE Composite
Given the investment horizon of 90 days LB Foster is expected to generate 5.49 times more return on investment than NYSE Composite. However, LB Foster is 5.49 times more volatile than NYSE Composite. It trades about 0.2 of its potential returns per unit of risk. NYSE Composite is currently generating about 0.02 per unit of risk. If you would invest 2,013 in LB Foster on August 15, 2024 and sell it today you would earn a total of 323.00 from holding LB Foster or generate 16.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
LB Foster vs. NYSE Composite
Performance |
Timeline |
LB Foster and NYSE Composite Volatility Contrast
Predicted Return Density |
Returns |
LB Foster
Pair trading matchups for LB Foster
NYSE Composite
Pair trading matchups for NYSE Composite
Pair Trading with LB Foster and NYSE Composite
The main advantage of trading using opposite LB Foster and NYSE Composite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LB Foster position performs unexpectedly, NYSE Composite 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 NYSE Composite will offset losses from the drop in NYSE Composite's long position.LB Foster vs. Trinity Industries | LB Foster vs. Freightcar America | LB Foster vs. Westinghouse Air Brake | LB Foster vs. Norfolk Southern |
NYSE Composite vs. Amkor Technology | NYSE Composite vs. Lifevantage | NYSE Composite vs. NETGEAR | NYSE Composite vs. Albertsons Companies |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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