Correlation Between Allegheny Technologies and Chemours
Can any of the company-specific risk be diversified away by investing in both Allegheny Technologies and Chemours 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 Allegheny Technologies and Chemours into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Allegheny Technologies Incorporated and Chemours Co, you can compare the effects of market volatilities on Allegheny Technologies and Chemours 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 Allegheny Technologies with a short position of Chemours. Check out your portfolio center. Please also check ongoing floating volatility patterns of Allegheny Technologies and Chemours.
Diversification Opportunities for Allegheny Technologies and Chemours
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Allegheny and Chemours is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Allegheny Technologies Incorpo and Chemours Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chemours and Allegheny Technologies 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 Allegheny Technologies Incorporated are associated (or correlated) with Chemours. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chemours has no effect on the direction of Allegheny Technologies i.e., Allegheny Technologies and Chemours go up and down completely randomly.
Pair Corralation between Allegheny Technologies and Chemours
Considering the 90-day investment horizon Allegheny Technologies Incorporated is expected to under-perform the Chemours. But the stock apears to be less risky and, when comparing its historical volatility, Allegheny Technologies Incorporated is 1.57 times less risky than Chemours. The stock trades about -0.04 of its potential returns per unit of risk. The Chemours Co is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 1,839 in Chemours Co on October 3, 2024 and sell it today you would lose (157.00) from holding Chemours Co or give up 8.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Allegheny Technologies Incorpo vs. Chemours Co
Performance |
Timeline |
Allegheny Technologies |
Chemours |
Allegheny Technologies and Chemours Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Allegheny Technologies and Chemours
The main advantage of trading using opposite Allegheny Technologies and Chemours positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allegheny Technologies position performs unexpectedly, Chemours 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 Chemours will offset losses from the drop in Chemours' long position.Allegheny Technologies vs. Worthington Industries | Allegheny Technologies vs. ESAB Corp | Allegheny Technologies vs. Insteel Industries | Allegheny Technologies vs. Northwest Pipe |
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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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