Correlation Between Direxion Daily and ULTRA CLEAN
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and ULTRA CLEAN 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 ULTRA CLEAN 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 ULTRA CLEAN HLDGS, you can compare the effects of market volatilities on Direxion Daily and ULTRA CLEAN 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 ULTRA CLEAN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and ULTRA CLEAN.
Diversification Opportunities for Direxion Daily and ULTRA CLEAN
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Direxion and ULTRA is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and ULTRA CLEAN HLDGS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ULTRA CLEAN HLDGS 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 ULTRA CLEAN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ULTRA CLEAN HLDGS has no effect on the direction of Direxion Daily i.e., Direxion Daily and ULTRA CLEAN go up and down completely randomly.
Pair Corralation between Direxion Daily and ULTRA CLEAN
Given the investment horizon of 90 days Direxion Daily Mid is expected to generate 0.82 times more return on investment than ULTRA CLEAN. However, Direxion Daily Mid is 1.22 times less risky than ULTRA CLEAN. It trades about -0.11 of its potential returns per unit of risk. ULTRA CLEAN HLDGS is currently generating about -0.19 per unit of risk. If you would invest 5,228 in Direxion Daily Mid on December 29, 2024 and sell it today you would lose (1,124) from holding Direxion Daily Mid or give up 21.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 96.83% |
Values | Daily Returns |
Direxion Daily Mid vs. ULTRA CLEAN HLDGS
Performance |
Timeline |
Direxion Daily Mid |
ULTRA CLEAN HLDGS |
Direxion Daily and ULTRA CLEAN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and ULTRA CLEAN
The main advantage of trading using opposite Direxion Daily and ULTRA CLEAN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, ULTRA CLEAN 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 ULTRA CLEAN will offset losses from the drop in ULTRA CLEAN'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 |
ULTRA CLEAN vs. InPlay Oil Corp | ULTRA CLEAN vs. ePlay Digital | ULTRA CLEAN vs. The Japan Steel | ULTRA CLEAN vs. JD SPORTS FASH |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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