Correlation Between Bunge and Campbell Soup

Can any of the company-specific risk be diversified away by investing in both Bunge and Campbell Soup 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 Bunge and Campbell Soup into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Bunge Limited and Campbell Soup, you can compare the effects of market volatilities on Bunge and Campbell Soup 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 Bunge with a short position of Campbell Soup. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bunge and Campbell Soup.

Diversification Opportunities for Bunge and Campbell Soup

0.72

Correlation Coefficient

Bunge  Campbell Soup

Poor diversification

The 3 months correlation between Bunge and Campbell is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Bunge Limited and Campbell Soup in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Campbell Soup and Bunge 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 Bunge Limited are associated (or correlated) with Campbell Soup. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Campbell Soup has no effect on the direction of Bunge i.e., Bunge and Campbell Soup go up and down completely randomly.

Pair Corralation between Bunge and Campbell Soup

Allowing for the 90-day total investment horizon Bunge Limited is expected to under-perform the Campbell Soup. In addition to that, Bunge is 1.69 times more volatile than Campbell Soup. It trades about -0.26 of its total potential returns per unit of risk. Campbell Soup is currently generating about -0.22 per unit of volatility. If you would invest  4,750  in Campbell Soup on August 10, 2024 and sell it today you would lose (238.00) from holding Campbell Soup or give up 5.01% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Bunge Limited  vs.  Campbell Soup

Bunge Limited

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Bunge Limited has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest unfluctuating performance, the Stock's technical and fundamental indicators remain stable and the current disturbance on Wall Street may also be a sign of long-run gains for the company stockholders.

Campbell Soup

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Campbell Soup has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest uncertain performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Pair Trading with Bunge and Campbell Soup

The main advantage of trading using opposite Bunge and Campbell Soup positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bunge position performs unexpectedly, Campbell Soup 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 Campbell Soup will offset losses from the drop in Campbell Soup's long position.

The idea behind Bunge Limited and Campbell Soup 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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.