Correlation Between IShares Russell and MicroSectors FANG
Can any of the company-specific risk be diversified away by investing in both IShares Russell 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 IShares Russell and MicroSectors FANG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Russell Top and MicroSectors FANG Index, you can compare the effects of market volatilities on IShares Russell 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 IShares Russell with a short position of MicroSectors FANG. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Russell and MicroSectors FANG.
Diversification Opportunities for IShares Russell and MicroSectors FANG
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between IShares and MicroSectors is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding iShares Russell Top 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 IShares Russell 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 iShares Russell Top 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 IShares Russell i.e., IShares Russell and MicroSectors FANG go up and down completely randomly.
Pair Corralation between IShares Russell and MicroSectors FANG
Considering the 90-day investment horizon iShares Russell Top is expected to generate 0.17 times more return on investment than MicroSectors FANG. However, iShares Russell Top is 5.98 times less risky than MicroSectors FANG. It trades about 0.13 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 8,620 in iShares Russell Top on September 2, 2025 and sell it today you would earn a total of 454.00 from holding iShares Russell Top or generate 5.27% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
iShares Russell Top vs. MicroSectors FANG Index
Performance |
| Timeline |
| iShares Russell Top |
| MicroSectors FANG Index |
IShares Russell and MicroSectors FANG Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with IShares Russell and MicroSectors FANG
The main advantage of trading using opposite IShares Russell and MicroSectors FANG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Russell 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.| IShares Russell vs. FT Vest Equity | IShares Russell vs. Northern Lights | IShares Russell vs. Diamond Hill Funds | IShares Russell vs. Dimensional International High |
| MicroSectors FANG vs. Strategy Shares | MicroSectors FANG vs. Freedom Day Dividend | MicroSectors FANG vs. Franklin Templeton ETF | MicroSectors FANG vs. iShares MSCI China |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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