Correlation Between Direxion Daily and Pax Balanced
Can any of the company-specific risk be diversified away by investing in both Direxion Daily and Pax Balanced 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 Pax Balanced 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 Pax Balanced Fund, you can compare the effects of market volatilities on Direxion Daily and Pax Balanced 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 Pax Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Daily and Pax Balanced.
Diversification Opportunities for Direxion Daily and Pax Balanced
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Direxion and Pax is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Daily Mid and Pax Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pax Balanced 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 Pax Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pax Balanced has no effect on the direction of Direxion Daily i.e., Direxion Daily and Pax Balanced go up and down completely randomly.
Pair Corralation between Direxion Daily and Pax Balanced
Given the investment horizon of 90 days Direxion Daily Mid is expected to under-perform the Pax Balanced. In addition to that, Direxion Daily is 5.57 times more volatile than Pax Balanced Fund. It trades about -0.08 of its total potential returns per unit of risk. Pax Balanced Fund is currently generating about -0.04 per unit of volatility. If you would invest 2,586 in Pax Balanced Fund on December 28, 2024 and sell it today you would lose (39.00) from holding Pax Balanced Fund or give up 1.51% 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. Pax Balanced Fund
Performance |
Timeline |
Direxion Daily Mid |
Pax Balanced |
Direxion Daily and Pax Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Daily and Pax Balanced
The main advantage of trading using opposite Direxion Daily and Pax Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Daily position performs unexpectedly, Pax Balanced 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 Pax Balanced will offset losses from the drop in Pax Balanced'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 |
Pax Balanced vs. Pax Esg Beta | Pax Balanced vs. Pax High Yield | Pax Balanced vs. Domini Impact Equity | Pax Balanced vs. Neuberger Berman Socially |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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