Correlation Between Fortune Brands and Reckitt Benckiser
Can any of the company-specific risk be diversified away by investing in both Fortune Brands and Reckitt Benckiser 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 Fortune Brands and Reckitt Benckiser into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fortune Brands Home and Reckitt Benckiser Group, you can compare the effects of market volatilities on Fortune Brands and Reckitt Benckiser 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 Fortune Brands with a short position of Reckitt Benckiser. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fortune Brands and Reckitt Benckiser.
Diversification Opportunities for Fortune Brands and Reckitt Benckiser
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Fortune and Reckitt is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Fortune Brands Home and Reckitt Benckiser Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reckitt Benckiser and Fortune Brands 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 Fortune Brands Home are associated (or correlated) with Reckitt Benckiser. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reckitt Benckiser has no effect on the direction of Fortune Brands i.e., Fortune Brands and Reckitt Benckiser go up and down completely randomly.
Pair Corralation between Fortune Brands and Reckitt Benckiser
Assuming the 90 days trading horizon Fortune Brands Home is expected to under-perform the Reckitt Benckiser. In addition to that, Fortune Brands is 2.32 times more volatile than Reckitt Benckiser Group. It trades about -0.31 of its total potential returns per unit of risk. Reckitt Benckiser Group is currently generating about -0.11 per unit of volatility. If you would invest 533,000 in Reckitt Benckiser Group on December 2, 2024 and sell it today you would lose (9,000) from holding Reckitt Benckiser Group or give up 1.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 77.27% |
Values | Daily Returns |
Fortune Brands Home vs. Reckitt Benckiser Group
Performance |
Timeline |
Fortune Brands Home |
Reckitt Benckiser |
Fortune Brands and Reckitt Benckiser Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fortune Brands and Reckitt Benckiser
The main advantage of trading using opposite Fortune Brands and Reckitt Benckiser positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fortune Brands position performs unexpectedly, Reckitt Benckiser 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 Reckitt Benckiser will offset losses from the drop in Reckitt Benckiser's long position.Fortune Brands vs. SBM Offshore NV | Fortune Brands vs. JLEN Environmental Assets | Fortune Brands vs. FinecoBank SpA | Fortune Brands vs. St Galler Kantonalbank |
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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 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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