Correlation Between NYSE Composite and Femasys

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

Diversification Opportunities for NYSE Composite and Femasys

0.28
  Correlation Coefficient

Modest diversification

The 3 months correlation between NYSE and Femasys is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Femasys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Femasys and NYSE Composite 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 NYSE Composite are associated (or correlated) with Femasys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Femasys has no effect on the direction of NYSE Composite i.e., NYSE Composite and Femasys go up and down completely randomly.
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Pair Corralation between NYSE Composite and Femasys

Assuming the 90 days trading horizon NYSE Composite is expected to generate 26.24 times less return on investment than Femasys. But when comparing it to its historical volatility, NYSE Composite is 10.08 times less risky than Femasys. It trades about 0.11 of its potential returns per unit of risk. Femasys is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest  119.00  in Femasys on November 20, 2024 and sell it today you would earn a total of  40.00  from holding Femasys or generate 33.61% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

NYSE Composite  vs.  Femasys

 Performance 
       Timeline  

NYSE Composite and Femasys Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with NYSE Composite and Femasys

The main advantage of trading using opposite NYSE Composite and Femasys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Femasys 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 Femasys will offset losses from the drop in Femasys' long position.
The idea behind NYSE Composite and Femasys 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.

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