Correlation Between Allianzgi Global and Hennessy
Can any of the company-specific risk be diversified away by investing in both Allianzgi Global and Hennessy 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 Allianzgi Global and Hennessy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Allianzgi Global Water and Hennessy Bp Energy, you can compare the effects of market volatilities on Allianzgi Global and Hennessy 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 Allianzgi Global with a short position of Hennessy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Allianzgi Global and Hennessy.
Diversification Opportunities for Allianzgi Global and Hennessy
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Allianzgi and Hennessy is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Allianzgi Global Water and Hennessy Bp Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hennessy Bp Energy and Allianzgi Global 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 Allianzgi Global Water are associated (or correlated) with Hennessy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hennessy Bp Energy has no effect on the direction of Allianzgi Global i.e., Allianzgi Global and Hennessy go up and down completely randomly.
Pair Corralation between Allianzgi Global and Hennessy
Assuming the 90 days horizon Allianzgi Global Water is expected to under-perform the Hennessy. In addition to that, Allianzgi Global is 1.16 times more volatile than Hennessy Bp Energy. It trades about -0.18 of its total potential returns per unit of risk. Hennessy Bp Energy is currently generating about 0.01 per unit of volatility. If you would invest 2,739 in Hennessy Bp Energy on October 11, 2024 and sell it today you would lose (1.00) from holding Hennessy Bp Energy or give up 0.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Allianzgi Global Water vs. Hennessy Bp Energy
Performance |
Timeline |
Allianzgi Global Water |
Hennessy Bp Energy |
Allianzgi Global and Hennessy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Allianzgi Global and Hennessy
The main advantage of trading using opposite Allianzgi Global and Hennessy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Allianzgi Global position performs unexpectedly, Hennessy 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 Hennessy will offset losses from the drop in Hennessy's long position.Allianzgi Global vs. Allianzgi Nfj International | Allianzgi Global vs. Allianzgi Vertible Fund | Allianzgi Global vs. Allianzgi Nfj Mid Cap | Allianzgi Global vs. Allianzgi Focused Growth |
Hennessy vs. World Energy Fund | Hennessy vs. Ivy Energy Fund | Hennessy vs. Blackrock All Cap Energy | Hennessy vs. Energy Fund Class |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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