Correlation Between Direxion Daily and Matthew 25
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and Matthew 25 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 Matthew 25 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 Matthew 25 Fund, you can compare the effects of market volatilities on Direxion Daily and Matthew 25 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 Matthew 25. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and Matthew 25.
Diversification Opportunities for Direxion Daily and Matthew 25
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Direxion and Matthew is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and Matthew 25 Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matthew 25 Fund 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 Matthew 25. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matthew 25 Fund has no effect on the direction of Direxion Daily i.e., Direxion Daily and Matthew 25 go up and down completely randomly.
Pair Corralation between Direxion Daily and Matthew 25
Given the investment horizon of 90 days Direxion Daily Mid is expected to under-perform the Matthew 25. In addition to that, Direxion Daily is 1.94 times more volatile than Matthew 25 Fund. It trades about -0.1 of its total potential returns per unit of risk. Matthew 25 Fund is currently generating about -0.11 per unit of volatility. If you would invest 3,485 in Matthew 25 Fund on December 30, 2024 and sell it today you would lose (404.00) from holding Matthew 25 Fund or give up 11.59% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Direxion Daily Mid vs. Matthew 25 Fund
Performance |
Timeline |
Direxion Daily Mid |
Matthew 25 Fund |
Direxion Daily and Matthew 25 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and Matthew 25
The main advantage of trading using opposite Direxion Daily and Matthew 25 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, Matthew 25 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 Matthew 25 will offset losses from the drop in Matthew 25'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 |
Matthew 25 vs. Buffalo Emerging Opportunities | Matthew 25 vs. Smead Value Fund | Matthew 25 vs. Hodges Small Cap | Matthew 25 vs. Amg Yacktman Focused |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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