Correlation Between Koppers Holdings and Babcock Wilcox
Can any of the company-specific risk be diversified away by investing in both Koppers Holdings and Babcock Wilcox 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 Koppers Holdings and Babcock Wilcox into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koppers Holdings and Babcock Wilcox Enterprises,, you can compare the effects of market volatilities on Koppers Holdings and Babcock Wilcox 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 Koppers Holdings with a short position of Babcock Wilcox. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koppers Holdings and Babcock Wilcox.
Diversification Opportunities for Koppers Holdings and Babcock Wilcox
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Koppers and Babcock is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Koppers Holdings and Babcock Wilcox Enterprises, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Babcock Wilcox Enter and Koppers Holdings 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 Koppers Holdings are associated (or correlated) with Babcock Wilcox. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Babcock Wilcox Enter has no effect on the direction of Koppers Holdings i.e., Koppers Holdings and Babcock Wilcox go up and down completely randomly.
Pair Corralation between Koppers Holdings and Babcock Wilcox
Considering the 90-day investment horizon Koppers Holdings is expected to generate 11.32 times less return on investment than Babcock Wilcox. In addition to that, Koppers Holdings is 2.8 times more volatile than Babcock Wilcox Enterprises,. It trades about 0.01 of its total potential returns per unit of risk. Babcock Wilcox Enterprises, is currently generating about 0.24 per unit of volatility. If you would invest 2,090 in Babcock Wilcox Enterprises, on August 31, 2024 and sell it today you would earn a total of 261.00 from holding Babcock Wilcox Enterprises, or generate 12.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Koppers Holdings vs. Babcock Wilcox Enterprises,
Performance |
Timeline |
Koppers Holdings |
Babcock Wilcox Enter |
Koppers Holdings and Babcock Wilcox Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koppers Holdings and Babcock Wilcox
The main advantage of trading using opposite Koppers Holdings and Babcock Wilcox positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koppers Holdings position performs unexpectedly, Babcock Wilcox 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 Babcock Wilcox will offset losses from the drop in Babcock Wilcox's long position.Koppers Holdings vs. H B Fuller | Koppers Holdings vs. Minerals Technologies | Koppers Holdings vs. Quaker Chemical | Koppers Holdings vs. Oil Dri |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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