Correlation Between Hennessy Technology and First Trust
Can any of the company-specific risk be diversified away by investing in both Hennessy Technology and First Trust 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 First Trust 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 First Trust Multi Strategy, you can compare the effects of market volatilities on Hennessy Technology and First Trust 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 First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hennessy Technology and First Trust.
Diversification Opportunities for Hennessy Technology and First Trust
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hennessy and First is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Hennessy Technology Fund and First Trust Multi Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Multi 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 First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Multi has no effect on the direction of Hennessy Technology i.e., Hennessy Technology and First Trust go up and down completely randomly.
Pair Corralation between Hennessy Technology and First Trust
Assuming the 90 days horizon Hennessy Technology Fund is expected to generate 8.34 times more return on investment than First Trust. However, Hennessy Technology is 8.34 times more volatile than First Trust Multi Strategy. It trades about 0.19 of its potential returns per unit of risk. First Trust Multi Strategy is currently generating about 0.3 per unit of risk. If you would invest 2,124 in Hennessy Technology Fund on May 3, 2025 and sell it today you would earn a total of 296.00 from holding Hennessy Technology Fund or generate 13.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hennessy Technology Fund vs. First Trust Multi Strategy
Performance |
Timeline |
Hennessy Technology |
First Trust Multi |
Hennessy Technology and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hennessy Technology and First Trust
The main advantage of trading using opposite Hennessy Technology and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hennessy Technology position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.Hennessy Technology vs. Black Oak Emerging | Hennessy Technology vs. Hennessy Large Cap | Hennessy Technology vs. Hennessy Japan Fund | Hennessy Technology vs. Hennessy Small Cap |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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