Correlation Between Bloomsbury Publishing and Fortune Brands
Can any of the company-specific risk be diversified away by investing in both Bloomsbury Publishing 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 Bloomsbury Publishing and Fortune Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bloomsbury Publishing Plc and Fortune Brands Home, you can compare the effects of market volatilities on Bloomsbury Publishing 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 Bloomsbury Publishing with a short position of Fortune Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bloomsbury Publishing and Fortune Brands.
Diversification Opportunities for Bloomsbury Publishing and Fortune Brands
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bloomsbury and Fortune is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Bloomsbury Publishing Plc 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 Bloomsbury Publishing 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 Bloomsbury Publishing Plc 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 Bloomsbury Publishing i.e., Bloomsbury Publishing and Fortune Brands go up and down completely randomly.
Pair Corralation between Bloomsbury Publishing and Fortune Brands
Assuming the 90 days trading horizon Bloomsbury Publishing Plc is expected to generate 0.87 times more return on investment than Fortune Brands. However, Bloomsbury Publishing Plc is 1.15 times less risky than Fortune Brands. It trades about -0.03 of its potential returns per unit of risk. Fortune Brands Home is currently generating about -0.57 per unit of risk. If you would invest 66,200 in Bloomsbury Publishing Plc on October 10, 2024 and sell it today you would lose (600.00) from holding Bloomsbury Publishing Plc or give up 0.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 78.95% |
Values | Daily Returns |
Bloomsbury Publishing Plc vs. Fortune Brands Home
Performance |
Timeline |
Bloomsbury Publishing Plc |
Fortune Brands Home |
Bloomsbury Publishing and Fortune Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bloomsbury Publishing and Fortune Brands
The main advantage of trading using opposite Bloomsbury Publishing and Fortune Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bloomsbury Publishing 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.Bloomsbury Publishing vs. Empire Metals Limited | Bloomsbury Publishing vs. Tata Steel Limited | Bloomsbury Publishing vs. JLEN Environmental Assets | Bloomsbury Publishing vs. British American Tobacco |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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