Correlation Between Vy(r) Franklin and Hennessy
Can any of the company-specific risk be diversified away by investing in both Vy(r) Franklin 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 Vy(r) Franklin and Hennessy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vy Franklin Income and Hennessy Bp Energy, you can compare the effects of market volatilities on Vy(r) Franklin 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 Vy(r) Franklin with a short position of Hennessy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vy(r) Franklin and Hennessy.
Diversification Opportunities for Vy(r) Franklin and Hennessy
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Vy(r) and Hennessy is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Vy Franklin Income 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 Vy(r) Franklin 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 Vy Franklin Income 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 Vy(r) Franklin i.e., Vy(r) Franklin and Hennessy go up and down completely randomly.
Pair Corralation between Vy(r) Franklin and Hennessy
Assuming the 90 days horizon Vy Franklin Income is expected to under-perform the Hennessy. But the mutual fund apears to be less risky and, when comparing its historical volatility, Vy Franklin Income is 2.53 times less risky than Hennessy. The mutual fund trades about -0.15 of its potential returns per unit of risk. The Hennessy Bp Energy is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 2,756 in Hennessy Bp Energy on October 8, 2024 and sell it today you would lose (21.00) from holding Hennessy Bp Energy or give up 0.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Vy Franklin Income vs. Hennessy Bp Energy
Performance |
Timeline |
Vy Franklin Income |
Hennessy Bp Energy |
Vy(r) Franklin and Hennessy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vy(r) Franklin and Hennessy
The main advantage of trading using opposite Vy(r) Franklin and Hennessy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vy(r) Franklin 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.Vy(r) Franklin vs. Vanguard Wellesley Income | Vy(r) Franklin vs. Vanguard Wellesley Income | Vy(r) Franklin vs. Blackrock Multi Asset Income | Vy(r) Franklin vs. The Hartford Balanced |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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