Correlation Between Apogee Enterprises and CVW CleanTech
Can any of the company-specific risk be diversified away by investing in both Apogee Enterprises and CVW CleanTech 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 Apogee Enterprises and CVW CleanTech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apogee Enterprises and CVW CleanTech, you can compare the effects of market volatilities on Apogee Enterprises and CVW CleanTech 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 Apogee Enterprises with a short position of CVW CleanTech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apogee Enterprises and CVW CleanTech.
Diversification Opportunities for Apogee Enterprises and CVW CleanTech
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Apogee and CVW is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Apogee Enterprises and CVW CleanTech in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVW CleanTech and Apogee Enterprises 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 Apogee Enterprises are associated (or correlated) with CVW CleanTech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVW CleanTech has no effect on the direction of Apogee Enterprises i.e., Apogee Enterprises and CVW CleanTech go up and down completely randomly.
Pair Corralation between Apogee Enterprises and CVW CleanTech
Given the investment horizon of 90 days Apogee Enterprises is expected to under-perform the CVW CleanTech. But the stock apears to be less risky and, when comparing its historical volatility, Apogee Enterprises is 1.79 times less risky than CVW CleanTech. The stock trades about -0.18 of its potential returns per unit of risk. The CVW CleanTech is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 57.00 in CVW CleanTech on December 24, 2024 and sell it today you would earn a total of 4.00 from holding CVW CleanTech or generate 7.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Apogee Enterprises vs. CVW CleanTech
Performance |
Timeline |
Apogee Enterprises |
CVW CleanTech |
Apogee Enterprises and CVW CleanTech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Apogee Enterprises and CVW CleanTech
The main advantage of trading using opposite Apogee Enterprises and CVW CleanTech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apogee Enterprises position performs unexpectedly, CVW CleanTech 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 CVW CleanTech will offset losses from the drop in CVW CleanTech's long position.Apogee Enterprises vs. Quanex Building Products | Apogee Enterprises vs. Janus International Group | Apogee Enterprises vs. Interface | Apogee Enterprises vs. Azek Company |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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