Correlation Between Coca Cola and SYSCO

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Can any of the company-specific risk be diversified away by investing in both Coca Cola and SYSCO 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 Coca Cola and SYSCO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Coca Cola and SYSCO P 5375, you can compare the effects of market volatilities on Coca Cola and SYSCO 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 Coca Cola with a short position of SYSCO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coca Cola and SYSCO.

Diversification Opportunities for Coca Cola and SYSCO

0.71
  Correlation Coefficient

Poor diversification

The 3 months correlation between Coca and SYSCO is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding The Coca Cola and SYSCO P 5375 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SYSCO P 5375 and Coca Cola 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 The Coca Cola are associated (or correlated) with SYSCO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SYSCO P 5375 has no effect on the direction of Coca Cola i.e., Coca Cola and SYSCO go up and down completely randomly.

Pair Corralation between Coca Cola and SYSCO

Allowing for the 90-day total investment horizon The Coca Cola is expected to generate 0.76 times more return on investment than SYSCO. However, The Coca Cola is 1.32 times less risky than SYSCO. It trades about 0.06 of its potential returns per unit of risk. SYSCO P 5375 is currently generating about 0.04 per unit of risk. If you would invest  5,714  in The Coca Cola on August 26, 2024 and sell it today you would earn a total of  678.00  from holding The Coca Cola or generate 11.87% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy64.26%
ValuesDaily Returns

The Coca Cola  vs.  SYSCO P 5375

 Performance 
       Timeline  
Coca Cola 

Risk-Adjusted Performance

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Strong
Very Weak
Over the last 90 days The Coca Cola has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unfluctuating performance, the Stock's basic indicators remain healthy and the recent disarray on Wall Street may also be a sign of long period gains for the firm investors.
SYSCO P 5375 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days SYSCO P 5375 has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong basic indicators, SYSCO is not utilizing all of its potentials. The recent stock price disturbance, may contribute to short-term losses for the investors.

Coca Cola and SYSCO Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Coca Cola and SYSCO

The main advantage of trading using opposite Coca Cola and SYSCO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coca Cola position performs unexpectedly, SYSCO 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 SYSCO will offset losses from the drop in SYSCO's long position.
The idea behind The Coca Cola and SYSCO P 5375 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.

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