Correlation Between Direxion Daily and Real Heart
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and Real Heart 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 Direxion Daily and Real Heart into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Direxion Daily Mid and Real Heart, you can compare the effects of market volatilities on Direxion Daily and Real Heart 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 Direxion Daily with a short position of Real Heart. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and Real Heart.
Diversification Opportunities for Direxion Daily and Real Heart
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between Direxion and Real is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and Real Heart in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Heart and Direxion Daily 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 Direxion Daily Mid are associated (or correlated) with Real Heart. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Heart has no effect on the direction of Direxion Daily i.e., Direxion Daily and Real Heart go up and down completely randomly.
Pair Corralation between Direxion Daily and Real Heart
Given the investment horizon of 90 days Direxion Daily Mid is expected to under-perform the Real Heart. But the etf apears to be less risky and, when comparing its historical volatility, Direxion Daily Mid is 6.01 times less risky than Real Heart. The etf trades about -0.15 of its potential returns per unit of risk. The Real Heart is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,608 in Real Heart on December 2, 2024 and sell it today you would earn a total of 82.00 from holding Real Heart or generate 5.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.36% |
Values | Daily Returns |
Direxion Daily Mid vs. Real Heart
Performance |
Timeline |
Direxion Daily Mid |
Real Heart |
Direxion Daily and Real Heart Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and Real Heart
The main advantage of trading using opposite Direxion Daily and Real Heart positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, Real Heart 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 Real Heart will offset losses from the drop in Real Heart's long position.Direxion Daily vs. Direxion Daily Retail | Direxion Daily vs. Direxion Daily Industrials | Direxion Daily vs. Direxion Daily Transportation | Direxion Daily vs. Direxion Daily FTSE |
Real Heart vs. Viva Wine Group | Real Heart vs. Raketech Group Holding | Real Heart vs. Intellego Technologies AB | Real Heart vs. Axfood AB |
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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