Correlation Between John B and J J

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

Diversification Opportunities for John B and J J

0.79
  Correlation Coefficient

Poor diversification

The 3 months correlation between John and JJSF is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding John B Sanfilippo and J J Snack in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on J J Snack and John B 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 John B Sanfilippo are associated (or correlated) with J J. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of J J Snack has no effect on the direction of John B i.e., John B and J J go up and down completely randomly.

Pair Corralation between John B and J J

Given the investment horizon of 90 days John B Sanfilippo is expected to under-perform the J J. In addition to that, John B is 1.18 times more volatile than J J Snack. It trades about -0.14 of its total potential returns per unit of risk. J J Snack is currently generating about -0.15 per unit of volatility. If you would invest  15,528  in J J Snack on December 27, 2024 and sell it today you would lose (2,456) from holding J J Snack or give up 15.82% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

John B Sanfilippo  vs.  J J Snack

 Performance 
       Timeline  
John B Sanfilippo 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days John B Sanfilippo has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Stock's basic indicators remain comparatively stable which may send shares a bit higher in April 2025. The newest uproar may also be a sign of mid-term up-swing for the firm private investors.
J J Snack 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days J J Snack has generated negative risk-adjusted returns adding no value to investors with long positions. Despite uncertain performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in April 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.

John B and J J Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with John B and J J

The main advantage of trading using opposite John B and J J positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John B position performs unexpectedly, J J 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 J J will offset losses from the drop in J J's long position.
The idea behind John B Sanfilippo and J J Snack 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

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