Correlation Between LB Foster and Hudson

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Can any of the company-specific risk be diversified away by investing in both LB Foster and Hudson 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 Hudson into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LB Foster and Hudson, you can compare the effects of market volatilities on LB Foster and Hudson 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 Hudson. Check out your portfolio center. Please also check ongoing floating volatility patterns of LB Foster and Hudson.

Diversification Opportunities for LB Foster and Hudson

0.0
  Correlation Coefficient

Pay attention - limited upside

The 3 months correlation between FSTR and Hudson is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding LB Foster and Hudson in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hudson 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 Hudson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hudson has no effect on the direction of LB Foster i.e., LB Foster and Hudson go up and down completely randomly.

Pair Corralation between LB Foster and Hudson

If you would invest  1,904  in LB Foster on September 2, 2024 and sell it today you would earn a total of  969.00  from holding LB Foster or generate 50.89% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.0%
ValuesDaily Returns

LB Foster  vs.  Hudson

 Performance 
       Timeline  
LB Foster 

Risk-Adjusted Performance

16 of 100

 
Weak
 
Strong
Solid
Compared to the overall equity markets, risk-adjusted returns on investments in LB Foster are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. Even with relatively unfluctuating basic indicators, LB Foster reported solid returns over the last few months and may actually be approaching a breakup point.
Hudson 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Hudson has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, Hudson is not utilizing all of its potentials. The current stock price tumult, may contribute to shorter-term losses for the shareholders.

LB Foster and Hudson Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with LB Foster and Hudson

The main advantage of trading using opposite LB Foster and Hudson positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LB Foster position performs unexpectedly, Hudson 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 Hudson will offset losses from the drop in Hudson's long position.
The idea behind LB Foster and Hudson pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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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