Correlation Between General Mills and Bunge

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

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

Diversification Opportunities for General Mills and Bunge

0.79

Correlation Coefficient

General Mills  Bunge

Poor diversification

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

Pair Corralation between General Mills and Bunge

Considering the 90-day investment horizon General Mills is expected to generate 0.65 times more return on investment than Bunge. However, General Mills is 1.53 times less risky than Bunge. It trades about -0.13 of its potential returns per unit of risk. Bunge Limited is currently generating about -0.09 per unit of risk. If you would invest  7,203  in General Mills on September 1, 2024 and sell it today you would lose (577.00) from holding General Mills or give up 8.01% of portfolio value over 90 days.

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

General Mills  vs.  Bunge Limited

General Mills

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days General Mills has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's forward indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

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 weak 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.

Pair Trading with General Mills and Bunge

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

The idea behind General Mills and Bunge Limited 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.