Correlation Between Hisense Home and Fortune Brands
Can any of the company-specific risk be diversified away by investing in both Hisense Home 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 Hisense Home and Fortune Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hisense Home Appliances and Fortune Brands Home, you can compare the effects of market volatilities on Hisense Home 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 Hisense Home with a short position of Fortune Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hisense Home and Fortune Brands.
Diversification Opportunities for Hisense Home and Fortune Brands
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Hisense and Fortune is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Hisense Home Appliances 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 Hisense Home 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 Hisense Home Appliances 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 Hisense Home i.e., Hisense Home and Fortune Brands go up and down completely randomly.
Pair Corralation between Hisense Home and Fortune Brands
Assuming the 90 days horizon Hisense Home Appliances is expected to generate 2.08 times more return on investment than Fortune Brands. However, Hisense Home is 2.08 times more volatile than Fortune Brands Home. It trades about 0.16 of its potential returns per unit of risk. Fortune Brands Home is currently generating about -0.46 per unit of risk. If you would invest 270.00 in Hisense Home Appliances on September 27, 2024 and sell it today you would earn a total of 27.00 from holding Hisense Home Appliances or generate 10.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hisense Home Appliances vs. Fortune Brands Home
Performance |
Timeline |
Hisense Home Appliances |
Fortune Brands Home |
Hisense Home and Fortune Brands Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hisense Home and Fortune Brands
The main advantage of trading using opposite Hisense Home and Fortune Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hisense Home 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.Hisense Home vs. Fortune Brands Home | Hisense Home vs. Tempur Sealy International | Hisense Home vs. Howden Joinery Group |
Fortune Brands vs. Tempur Sealy International | Fortune Brands vs. Howden Joinery Group | Fortune Brands vs. Hisense Home Appliances |
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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