Correlation Between Direxion Monthly and Matson Money
Can any of the company-specific risk be diversified away by investing in both Direxion Monthly and Matson Money 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 Monthly and Matson Money into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Direxion Monthly Small and Matson Money Equity, you can compare the effects of market volatilities on Direxion Monthly and Matson Money 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 Monthly with a short position of Matson Money. Check out your portfolio center. Please also check ongoing floating volatility patterns of Direxion Monthly and Matson Money.
Diversification Opportunities for Direxion Monthly and Matson Money
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Direxion and Matson is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Direxion Monthly Small and Matson Money Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matson Money Equity and Direxion Monthly 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 Monthly Small are associated (or correlated) with Matson Money. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matson Money Equity has no effect on the direction of Direxion Monthly i.e., Direxion Monthly and Matson Money go up and down completely randomly.
Pair Corralation between Direxion Monthly and Matson Money
Assuming the 90 days horizon Direxion Monthly Small is expected to generate 2.16 times more return on investment than Matson Money. However, Direxion Monthly is 2.16 times more volatile than Matson Money Equity. It trades about 0.16 of its potential returns per unit of risk. Matson Money Equity is currently generating about 0.16 per unit of risk. If you would invest 8,177 in Direxion Monthly Small on September 4, 2024 and sell it today you would earn a total of 1,879 from holding Direxion Monthly Small or generate 22.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Direxion Monthly Small vs. Matson Money Equity
Performance |
Timeline |
Direxion Monthly Small |
Matson Money Equity |
Direxion Monthly and Matson Money Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Direxion Monthly and Matson Money
The main advantage of trading using opposite Direxion Monthly and Matson Money positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Direxion Monthly position performs unexpectedly, Matson Money 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 Matson Money will offset losses from the drop in Matson Money's long position.Direxion Monthly vs. Matson Money Equity | Direxion Monthly vs. Lord Abbett Emerging | Direxion Monthly vs. Ashmore Emerging Markets | Direxion Monthly vs. Wells Fargo Funds |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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