Correlation Between Applied Materials and Haverty Furniture
Can any of the company-specific risk be diversified away by investing in both Applied Materials and Haverty Furniture 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 Applied Materials and Haverty Furniture into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and Haverty Furniture Companies, you can compare the effects of market volatilities on Applied Materials and Haverty Furniture 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 Applied Materials with a short position of Haverty Furniture. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and Haverty Furniture.
Diversification Opportunities for Applied Materials and Haverty Furniture
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Applied and Haverty is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and Haverty Furniture Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Haverty Furniture and Applied Materials 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 Applied Materials are associated (or correlated) with Haverty Furniture. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Haverty Furniture has no effect on the direction of Applied Materials i.e., Applied Materials and Haverty Furniture go up and down completely randomly.
Pair Corralation between Applied Materials and Haverty Furniture
Assuming the 90 days horizon Applied Materials is expected to generate 0.98 times more return on investment than Haverty Furniture. However, Applied Materials is 1.02 times less risky than Haverty Furniture. It trades about 0.06 of its potential returns per unit of risk. Haverty Furniture Companies is currently generating about 0.0 per unit of risk. If you would invest 16,135 in Applied Materials on September 5, 2024 and sell it today you would earn a total of 1,265 from holding Applied Materials or generate 7.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Applied Materials vs. Haverty Furniture Companies
Performance |
Timeline |
Applied Materials |
Haverty Furniture |
Applied Materials and Haverty Furniture Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and Haverty Furniture
The main advantage of trading using opposite Applied Materials and Haverty Furniture positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, Haverty Furniture 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 Haverty Furniture will offset losses from the drop in Haverty Furniture's long position.Applied Materials vs. Boyd Gaming | Applied Materials vs. Motorcar Parts of | Applied Materials vs. Penn National Gaming | Applied Materials vs. TROPHY GAMES DEV |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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