Correlation Between Chocoladefabriken and Fortune Brands
Can any of the company-specific risk be diversified away by investing in both Chocoladefabriken and Fortune Brands 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 Chocoladefabriken and Fortune Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chocoladefabriken Lindt Spruengli and Fortune Brands Home, you can compare the effects of market volatilities on Chocoladefabriken and Fortune Brands 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 Chocoladefabriken with a short position of Fortune Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chocoladefabriken and Fortune Brands.
Diversification Opportunities for Chocoladefabriken and Fortune Brands
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chocoladefabriken and Fortune is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Chocoladefabriken Lindt Spruen and Fortune Brands Home in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fortune Brands Home and Chocoladefabriken 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 Chocoladefabriken Lindt Spruengli are associated (or correlated) with Fortune Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fortune Brands Home has no effect on the direction of Chocoladefabriken i.e., Chocoladefabriken and Fortune Brands go up and down completely randomly.
Pair Corralation between Chocoladefabriken and Fortune Brands
Assuming the 90 days trading horizon Chocoladefabriken is expected to generate 4.45 times less return on investment than Fortune Brands. But when comparing it to its historical volatility, Chocoladefabriken Lindt Spruengli is 2.14 times less risky than Fortune Brands. It trades about 0.01 of its potential returns per unit of risk. Fortune Brands Home is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 6,079 in Fortune Brands Home on October 5, 2024 and sell it today you would earn a total of 775.00 from holding Fortune Brands Home or generate 12.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 79.34% |
Values | Daily Returns |
Chocoladefabriken Lindt Spruen vs. Fortune Brands Home
Performance |
Timeline |
Chocoladefabriken Lindt |
Fortune Brands Home |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Chocoladefabriken and Fortune Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chocoladefabriken and Fortune Brands
The main advantage of trading using opposite Chocoladefabriken and Fortune Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chocoladefabriken position performs unexpectedly, Fortune Brands 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 Fortune Brands will offset losses from the drop in Fortune Brands' long position.Chocoladefabriken vs. First Class Metals | Chocoladefabriken vs. mobilezone holding AG | Chocoladefabriken vs. Batm Advanced Communications | Chocoladefabriken vs. AMG Advanced Metallurgical |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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