Correlation Between Performance Food and KELLOGG Dusseldorf

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Performance Food and KELLOGG Dusseldorf 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 Performance Food and KELLOGG Dusseldorf into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Performance Food Group and KELLOGG Dusseldorf, you can compare the effects of market volatilities on Performance Food and KELLOGG Dusseldorf 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 Performance Food with a short position of KELLOGG Dusseldorf. Check out your portfolio center. Please also check ongoing floating volatility patterns of Performance Food and KELLOGG Dusseldorf.

Diversification Opportunities for Performance Food and KELLOGG Dusseldorf

0.49
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Performance and KELLOGG is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Performance Food Group and KELLOGG Dusseldorf in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KELLOGG Dusseldorf and Performance Food 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 Performance Food Group are associated (or correlated) with KELLOGG Dusseldorf. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KELLOGG Dusseldorf has no effect on the direction of Performance Food i.e., Performance Food and KELLOGG Dusseldorf go up and down completely randomly.

Pair Corralation between Performance Food and KELLOGG Dusseldorf

Assuming the 90 days trading horizon Performance Food Group is expected to generate 1.12 times more return on investment than KELLOGG Dusseldorf. However, Performance Food is 1.12 times more volatile than KELLOGG Dusseldorf. It trades about 0.32 of its potential returns per unit of risk. KELLOGG Dusseldorf is currently generating about 0.08 per unit of risk. If you would invest  8,050  in Performance Food Group on October 24, 2024 and sell it today you would earn a total of  400.00  from holding Performance Food Group or generate 4.97% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Performance Food Group  vs.  KELLOGG Dusseldorf

 Performance 
       Timeline  
Performance Food 

Risk-Adjusted Performance

12 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in Performance Food Group are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively fragile basic indicators, Performance Food may actually be approaching a critical reversion point that can send shares even higher in February 2025.
KELLOGG Dusseldorf 

Risk-Adjusted Performance

11 of 100

 
Weak
 
Strong
Good
Compared to the overall equity markets, risk-adjusted returns on investments in KELLOGG Dusseldorf are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable essential indicators, KELLOGG Dusseldorf is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

Performance Food and KELLOGG Dusseldorf Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Performance Food and KELLOGG Dusseldorf

The main advantage of trading using opposite Performance Food and KELLOGG Dusseldorf positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Performance Food position performs unexpectedly, KELLOGG Dusseldorf 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 KELLOGG Dusseldorf will offset losses from the drop in KELLOGG Dusseldorf's long position.
The idea behind Performance Food Group and KELLOGG Dusseldorf 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

Other Complementary Tools

Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Financial Widgets
Easily integrated Macroaxis content with over 30 different plug-and-play financial widgets
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Theme Ratings
Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets