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 Developed, 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
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between MicroSectors and First is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and First Trust Developed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Developed 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 Developed 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 3.14 times more return on investment than First Trust. However, MicroSectors FANG is 3.14 times more volatile than First Trust Developed. It trades about 0.14 of its potential returns per unit of risk. First Trust Developed is currently generating about -0.05 per unit of risk. If you would invest 7,600 in MicroSectors FANG Index on August 28, 2024 and sell it today you would earn a total of 611.00 from holding MicroSectors FANG Index or generate 8.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
MicroSectors FANG Index vs. First Trust Developed
Performance |
| Timeline |
| MicroSectors FANG Index |
| First Trust Developed |
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 Asia | First Trust vs. First Trust United | First Trust vs. First Trust Germany | First Trust vs. First Trust Japan |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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