Correlation Between MicroSectors FANG and First Trust
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and First Trust 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 First Trust 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 First Trust Large, you can compare the effects of market volatilities on MicroSectors FANG and First Trust 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 First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and First Trust.
Diversification Opportunities for MicroSectors FANG and First Trust
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between MicroSectors and First is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and First Trust Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Large 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 First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Large has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and First Trust go up and down completely randomly.
Pair Corralation between MicroSectors FANG and First Trust
Given the investment horizon of 90 days MicroSectors FANG Index is expected to generate 2.96 times more return on investment than First Trust. However, MicroSectors FANG is 2.96 times more volatile than First Trust Large. It trades about 0.3 of its potential returns per unit of risk. First Trust Large is currently generating about 0.36 per unit of risk. If you would invest 7,598 in MicroSectors FANG Index on April 25, 2025 and sell it today you would earn a total of 3,577 from holding MicroSectors FANG Index or generate 47.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
MicroSectors FANG Index vs. First Trust Large
Performance |
Timeline |
MicroSectors FANG Index |
First Trust Large |
MicroSectors FANG and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MicroSectors FANG and First Trust
The main advantage of trading using opposite MicroSectors FANG and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.MicroSectors FANG vs. MicroSectors FANG ETN | MicroSectors FANG vs. Direxion Daily Dow | MicroSectors FANG vs. MicroSectors FANG Index | MicroSectors FANG vs. Direxion Daily Cnsmr |
First Trust vs. First Trust Large | First Trust vs. First Trust Small | First Trust vs. First Trust Large | First Trust vs. First Trust Mid |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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