Correlation Between Beneficient and Chart Industries
Can any of the company-specific risk be diversified away by investing in both Beneficient and Chart Industries 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 Beneficient and Chart Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Beneficient Class A and Chart Industries, you can compare the effects of market volatilities on Beneficient and Chart Industries 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 Beneficient with a short position of Chart Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Beneficient and Chart Industries.
Diversification Opportunities for Beneficient and Chart Industries
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Beneficient and Chart is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Beneficient Class A and Chart Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chart Industries and Beneficient 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 Beneficient Class A are associated (or correlated) with Chart Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chart Industries has no effect on the direction of Beneficient i.e., Beneficient and Chart Industries go up and down completely randomly.
Pair Corralation between Beneficient and Chart Industries
Given the investment horizon of 90 days Beneficient Class A is expected to under-perform the Chart Industries. In addition to that, Beneficient is 1.73 times more volatile than Chart Industries. It trades about -0.19 of its total potential returns per unit of risk. Chart Industries is currently generating about -0.07 per unit of volatility. If you would invest 6,913 in Chart Industries on December 23, 2024 and sell it today you would lose (1,042) from holding Chart Industries or give up 15.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Beneficient Class A vs. Chart Industries
Performance |
Timeline |
Beneficient Class |
Chart Industries |
Beneficient and Chart Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Beneficient and Chart Industries
The main advantage of trading using opposite Beneficient and Chart Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Beneficient position performs unexpectedly, Chart Industries 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 Chart Industries will offset losses from the drop in Chart Industries' long position.Beneficient vs. PepsiCo | Beneficient vs. Park Electrochemical | Beneficient vs. Shimmick Common | Beneficient vs. Emerson Electric |
Chart Industries vs. Babcock Wilcox Enterprises | Chart Industries vs. Morgan Stanley | Chart Industries vs. National Storage Affiliates | Chart Industries vs. Aquagold International |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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