Correlation Between Armanino Foods and SSMTF

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

Diversification Opportunities for Armanino Foods and SSMTF

0.0
  Correlation Coefficient

Pay attention - limited upside

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

Pair Corralation between Armanino Foods and SSMTF

If you would invest  0.15  in SSMTF on October 10, 2024 and sell it today you would earn a total of  0.00  from holding SSMTF or generate 0.0% return on investment over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy4.76%
ValuesDaily Returns

Armanino Foods New  vs.  SSMTF

 Performance 
       Timeline  
Armanino Foods New 

Risk-Adjusted Performance

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Over the last 90 days Armanino Foods New has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Armanino Foods is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.
SSMTF 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days SSMTF has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, SSMTF is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

Armanino Foods and SSMTF Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Armanino Foods and SSMTF

The main advantage of trading using opposite Armanino Foods and SSMTF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Armanino Foods position performs unexpectedly, SSMTF 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 SSMTF will offset losses from the drop in SSMTF's long position.
The idea behind Armanino Foods New and SSMTF 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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.

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