Correlation Between Hennessy Technology and Long Term
Can any of the company-specific risk be diversified away by investing in both Hennessy Technology and Long Term 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 Hennessy Technology and Long Term into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hennessy Technology Fund and The Long Term, you can compare the effects of market volatilities on Hennessy Technology and Long Term 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 Hennessy Technology with a short position of Long Term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hennessy Technology and Long Term.
Diversification Opportunities for Hennessy Technology and Long Term
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hennessy and Long is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Hennessy Technology Fund and The Long Term in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Long Term and Hennessy Technology 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 Hennessy Technology Fund are associated (or correlated) with Long Term. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Long Term has no effect on the direction of Hennessy Technology i.e., Hennessy Technology and Long Term go up and down completely randomly.
Pair Corralation between Hennessy Technology and Long Term
Assuming the 90 days horizon Hennessy Technology Fund is expected to under-perform the Long Term. But the mutual fund apears to be less risky and, when comparing its historical volatility, Hennessy Technology Fund is 1.28 times less risky than Long Term. The mutual fund trades about -0.2 of its potential returns per unit of risk. The The Long Term is currently generating about -0.15 of returns per unit of risk over similar time horizon. If you would invest 3,571 in The Long Term on October 7, 2024 and sell it today you would lose (155.00) from holding The Long Term or give up 4.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hennessy Technology Fund vs. The Long Term
Performance |
Timeline |
Hennessy Technology |
Long Term |
Hennessy Technology and Long Term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hennessy Technology and Long Term
The main advantage of trading using opposite Hennessy Technology and Long Term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hennessy Technology position performs unexpectedly, Long Term 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 Long Term will offset losses from the drop in Long Term's long position.Hennessy Technology vs. Fidelity Advisor Health | Hennessy Technology vs. Fidelity Advisor Financial | Hennessy Technology vs. Fidelity Advisor Equity | Hennessy Technology vs. HUMANA INC |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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