Correlation Between Astar and Fortune Brands
Can any of the company-specific risk be diversified away by investing in both Astar 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 Astar and Fortune Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Astar and Fortune Brands Home, you can compare the effects of market volatilities on Astar 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 Astar with a short position of Fortune Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Astar and Fortune Brands.
Diversification Opportunities for Astar and Fortune Brands
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Astar and Fortune is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Astar 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 Astar 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 Astar 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 Astar i.e., Astar and Fortune Brands go up and down completely randomly.
Pair Corralation between Astar and Fortune Brands
Assuming the 90 days trading horizon Astar is expected to generate 4.43 times more return on investment than Fortune Brands. However, Astar is 4.43 times more volatile than Fortune Brands Home. It trades about 0.03 of its potential returns per unit of risk. Fortune Brands Home is currently generating about 0.03 per unit of risk. If you would invest 5.95 in Astar on October 24, 2024 and sell it today you would lose (0.43) from holding Astar or give up 7.23% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 59.28% |
Values | Daily Returns |
Astar vs. Fortune Brands Home
Performance |
Timeline |
Astar |
Fortune Brands Home |
Astar and Fortune Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Astar and Fortune Brands
The main advantage of trading using opposite Astar and Fortune Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Astar 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.The idea behind Astar and Fortune Brands Home 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.Fortune Brands vs. Apple Inc | Fortune Brands vs. Apple Inc | Fortune Brands vs. Apple Inc | Fortune Brands vs. Apple Inc |
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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