Correlation Between MicroSectors FANG and Direxion Daily
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and Direxion Daily 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 MicroSectors FANG and Direxion Daily into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MicroSectors FANG Index and Direxion Daily META, you can compare the effects of market volatilities on MicroSectors FANG and Direxion Daily 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 MicroSectors FANG with a short position of Direxion Daily. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and Direxion Daily.
Diversification Opportunities for MicroSectors FANG and Direxion Daily
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MicroSectors and Direxion is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and Direxion Daily META in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Direxion Daily META and MicroSectors FANG 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 MicroSectors FANG Index are associated (or correlated) with Direxion Daily. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Direxion Daily META has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and Direxion Daily go up and down completely randomly.
Pair Corralation between MicroSectors FANG and Direxion Daily
Given the investment horizon of 90 days MicroSectors FANG Index is expected to generate 1.32 times more return on investment than Direxion Daily. However, MicroSectors FANG is 1.32 times more volatile than Direxion Daily META. It trades about 0.11 of its potential returns per unit of risk. Direxion Daily META is currently generating about 0.06 per unit of risk. If you would invest 5,802 in MicroSectors FANG Index on August 29, 2024 and sell it today you would earn a total of 43,623 from holding MicroSectors FANG Index or generate 751.86% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 24.8% |
| Values | Daily Returns |
MicroSectors FANG Index vs. Direxion Daily META
Performance |
| Timeline |
| MicroSectors FANG Index |
| Direxion Daily META |
MicroSectors FANG and Direxion Daily Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MicroSectors FANG and Direxion Daily
The main advantage of trading using opposite MicroSectors FANG and Direxion Daily positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, Direxion Daily 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 Direxion Daily will offset losses from the drop in Direxion Daily's long position.| MicroSectors FANG vs. Direxion Daily Semiconductor | MicroSectors FANG vs. MicroSectors Solactive FANG | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Technology |
| Direxion Daily vs. Freedom Day Dividend | Direxion Daily vs. Franklin Templeton ETF | Direxion Daily vs. iShares MSCI China | Direxion Daily vs. Tidal Trust II |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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