Correlation Between MicroSectors FANG and GraniteShares 125x
Can any of the company-specific risk be diversified away by investing in both MicroSectors FANG and GraniteShares 125x 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 GraniteShares 125x 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 GraniteShares 125x Long, you can compare the effects of market volatilities on MicroSectors FANG and GraniteShares 125x 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 GraniteShares 125x. Check out your portfolio center. Please also check ongoing floating volatility patterns of MicroSectors FANG and GraniteShares 125x.
Diversification Opportunities for MicroSectors FANG and GraniteShares 125x
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between MicroSectors and GraniteShares is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding MicroSectors FANG Index and GraniteShares 125x Long in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares 125x Long 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 GraniteShares 125x. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares 125x Long has no effect on the direction of MicroSectors FANG i.e., MicroSectors FANG and GraniteShares 125x go up and down completely randomly.
Pair Corralation between MicroSectors FANG and GraniteShares 125x
Given the investment horizon of 90 days MicroSectors FANG Index is expected to generate 1.58 times more return on investment than GraniteShares 125x. However, MicroSectors FANG is 1.58 times more volatile than GraniteShares 125x Long. It trades about 0.04 of its potential returns per unit of risk. GraniteShares 125x Long is currently generating about -0.04 per unit of risk. If you would invest 61,464 in MicroSectors FANG Index on November 4, 2024 and sell it today you would earn a total of 1,036 from holding MicroSectors FANG Index or generate 1.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 95.0% |
| Values | Daily Returns |
MicroSectors FANG Index vs. GraniteShares 125x Long
Performance |
| Timeline |
| MicroSectors FANG Index |
| GraniteShares 125x Long |
MicroSectors FANG and GraniteShares 125x Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MicroSectors FANG and GraniteShares 125x
The main advantage of trading using opposite MicroSectors FANG and GraniteShares 125x positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MicroSectors FANG position performs unexpectedly, GraniteShares 125x 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 GraniteShares 125x will offset losses from the drop in GraniteShares 125x'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 |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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