Correlation Between FARM and EM

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

Diversification Opportunities for FARM and EM

0.0
  Correlation Coefficient
 EM

Pay attention - limited upside

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

Pair Corralation between FARM and EM

If you would invest  3,034  in FARM on April 22, 2025 and sell it today you would lose (49.00) from holding FARM or give up 1.62% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

FARM  vs.  EM

 Performance 
       Timeline  
FARM 

Risk-Adjusted Performance

Very Weak

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

Risk-Adjusted Performance

Very Weak

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

FARM and EM Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with FARM and EM

The main advantage of trading using opposite FARM and EM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FARM position performs unexpectedly, EM 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 EM will offset losses from the drop in EM's long position.
The idea behind FARM and EM 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.
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.

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