Correlation Between Kraft Heinz and Grand Havana
Can any of the company-specific risk be diversified away by investing in both Kraft Heinz and Grand Havana 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 Kraft Heinz and Grand Havana into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kraft Heinz Co and Grand Havana, you can compare the effects of market volatilities on Kraft Heinz and Grand Havana 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 Kraft Heinz with a short position of Grand Havana. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kraft Heinz and Grand Havana.
Diversification Opportunities for Kraft Heinz and Grand Havana
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kraft and Grand is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Kraft Heinz Co and Grand Havana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Grand Havana and Kraft Heinz 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 Kraft Heinz Co are associated (or correlated) with Grand Havana. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Grand Havana has no effect on the direction of Kraft Heinz i.e., Kraft Heinz and Grand Havana go up and down completely randomly.
Pair Corralation between Kraft Heinz and Grand Havana
Considering the 90-day investment horizon Kraft Heinz Co is expected to under-perform the Grand Havana. But the stock apears to be less risky and, when comparing its historical volatility, Kraft Heinz Co is 8.79 times less risky than Grand Havana. The stock trades about -0.35 of its potential returns per unit of risk. The Grand Havana is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 0.07 in Grand Havana on August 28, 2024 and sell it today you would earn a total of 0.00 from holding Grand Havana or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Kraft Heinz Co vs. Grand Havana
Performance |
| Timeline |
| Kraft Heinz |
| Grand Havana |
Kraft Heinz and Grand Havana Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Kraft Heinz and Grand Havana
The main advantage of trading using opposite Kraft Heinz and Grand Havana positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kraft Heinz position performs unexpectedly, Grand Havana 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 Grand Havana will offset losses from the drop in Grand Havana's long position.| Kraft Heinz vs. General Mills | Kraft Heinz vs. Campbell Soup | Kraft Heinz vs. ConAgra Foods | Kraft Heinz vs. Hormel Foods |
| Grand Havana vs. Right On Brands | Grand Havana vs. BioAdaptives | Grand Havana vs. Yuenglings Ice Cream | Grand Havana vs. Bit Origin |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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