Correlation Between Hanlon Tactical and Barrow Hanley
Can any of the company-specific risk be diversified away by investing in both Hanlon Tactical and Barrow Hanley 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 Hanlon Tactical and Barrow Hanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hanlon Tactical Dividend and Barrow Hanley Concentrated, you can compare the effects of market volatilities on Hanlon Tactical and Barrow Hanley 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 Hanlon Tactical with a short position of Barrow Hanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanlon Tactical and Barrow Hanley.
Diversification Opportunities for Hanlon Tactical and Barrow Hanley
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Hanlon and Barrow is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Hanlon Tactical Dividend and Barrow Hanley Concentrated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barrow Hanley Concen and Hanlon Tactical 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 Hanlon Tactical Dividend are associated (or correlated) with Barrow Hanley. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barrow Hanley Concen has no effect on the direction of Hanlon Tactical i.e., Hanlon Tactical and Barrow Hanley go up and down completely randomly.
Pair Corralation between Hanlon Tactical and Barrow Hanley
Assuming the 90 days horizon Hanlon Tactical Dividend is expected to generate 0.33 times more return on investment than Barrow Hanley. However, Hanlon Tactical Dividend is 3.02 times less risky than Barrow Hanley. It trades about -0.11 of its potential returns per unit of risk. Barrow Hanley Concentrated is currently generating about -0.21 per unit of risk. If you would invest 1,381 in Hanlon Tactical Dividend on September 30, 2024 and sell it today you would lose (29.00) from holding Hanlon Tactical Dividend or give up 2.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hanlon Tactical Dividend vs. Barrow Hanley Concentrated
Performance |
Timeline |
Hanlon Tactical Dividend |
Barrow Hanley Concen |
Hanlon Tactical and Barrow Hanley Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanlon Tactical and Barrow Hanley
The main advantage of trading using opposite Hanlon Tactical and Barrow Hanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanlon Tactical position performs unexpectedly, Barrow Hanley 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 Barrow Hanley will offset losses from the drop in Barrow Hanley's long position.Hanlon Tactical vs. Hanlon Tactical Dividend | Hanlon Tactical vs. Hanlon Tactical Dividend | Hanlon Tactical vs. Vanguard Total Stock | Hanlon Tactical vs. Ridgeworth Silvant Large |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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