Correlation Between First Trust and MicroSectors FANG
Can any of the company-specific risk be diversified away by investing in both First Trust and MicroSectors FANG 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 First Trust and MicroSectors FANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust SkyBridge and MicroSectors FANG Index, you can compare the effects of market volatilities on First Trust and MicroSectors FANG 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 First Trust with a short position of MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and MicroSectors FANG.
Diversification Opportunities for First Trust and MicroSectors FANG
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between First and MicroSectors is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding First Trust SkyBridge and MicroSectors FANG Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MicroSectors FANG Index and First Trust 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 First Trust SkyBridge are associated (or correlated) with MicroSectors FANG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MicroSectors FANG Index has no effect on the direction of First Trust i.e., First Trust and MicroSectors FANG go up and down completely randomly.
Pair Corralation between First Trust and MicroSectors FANG
Given the investment horizon of 90 days First Trust SkyBridge is expected to generate 1.27 times more return on investment than MicroSectors FANG. However, First Trust is 1.27 times more volatile than MicroSectors FANG Index. It trades about 0.2 of its potential returns per unit of risk. MicroSectors FANG Index is currently generating about -0.11 per unit of risk. If you would invest 1,145 in First Trust SkyBridge on August 30, 2024 and sell it today you would earn a total of 912.00 from holding First Trust SkyBridge or generate 79.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
First Trust SkyBridge vs. MicroSectors FANG Index
Performance |
Timeline |
First Trust SkyBridge |
MicroSectors FANG Index |
First Trust and MicroSectors FANG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and MicroSectors FANG
The main advantage of trading using opposite First Trust and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, MicroSectors FANG 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 MicroSectors FANG will offset losses from the drop in MicroSectors FANG's long position.First Trust vs. VanEck Digital Transformation | First Trust vs. Bitwise Crypto Industry | First Trust vs. Global X Blockchain | First Trust vs. First Trust Indxx |
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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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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