Correlation Between Installed Building and Armstrong World
Can any of the company-specific risk be diversified away by investing in both Installed Building and Armstrong World 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 Installed Building and Armstrong World into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Installed Building Products and Armstrong World Industries, you can compare the effects of market volatilities on Installed Building and Armstrong World 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 Installed Building with a short position of Armstrong World. Check out your portfolio center. Please also check ongoing floating volatility patterns of Installed Building and Armstrong World.
Diversification Opportunities for Installed Building and Armstrong World
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Installed and Armstrong is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Installed Building Products and Armstrong World Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Armstrong World Indu and Installed Building 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 Installed Building Products are associated (or correlated) with Armstrong World. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Armstrong World Indu has no effect on the direction of Installed Building i.e., Installed Building and Armstrong World go up and down completely randomly.
Pair Corralation between Installed Building and Armstrong World
Considering the 90-day investment horizon Installed Building Products is expected to generate 1.5 times more return on investment than Armstrong World. However, Installed Building is 1.5 times more volatile than Armstrong World Industries. It trades about 0.01 of its potential returns per unit of risk. Armstrong World Industries is currently generating about -0.01 per unit of risk. If you would invest 17,234 in Installed Building Products on December 30, 2024 and sell it today you would lose (171.00) from holding Installed Building Products or give up 0.99% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Installed Building Products vs. Armstrong World Industries
Performance |
Timeline |
Installed Building |
Armstrong World Indu |
Installed Building and Armstrong World Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Installed Building and Armstrong World
The main advantage of trading using opposite Installed Building and Armstrong World positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Installed Building position performs unexpectedly, Armstrong World 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 Armstrong World will offset losses from the drop in Armstrong World's long position.Installed Building vs. Century Communities | Installed Building vs. MI Homes | Installed Building vs. Taylor Morn Home | Installed Building vs. TRI Pointe Homes |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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