Correlation Between First Trust and GraniteShares ETF
Can any of the company-specific risk be diversified away by investing in both First Trust and GraniteShares ETF 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 GraniteShares ETF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Lunt and GraniteShares ETF Trust, you can compare the effects of market volatilities on First Trust and GraniteShares ETF 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 GraniteShares ETF. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and GraniteShares ETF.
Diversification Opportunities for First Trust and GraniteShares ETF
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and GraniteShares is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Lunt and GraniteShares ETF Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GraniteShares ETF Trust 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 Lunt are associated (or correlated) with GraniteShares ETF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GraniteShares ETF Trust has no effect on the direction of First Trust i.e., First Trust and GraniteShares ETF go up and down completely randomly.
Pair Corralation between First Trust and GraniteShares ETF
Given the investment horizon of 90 days First Trust Lunt is expected to under-perform the GraniteShares ETF. In addition to that, First Trust is 1.29 times more volatile than GraniteShares ETF Trust. It trades about -0.04 of its total potential returns per unit of risk. GraniteShares ETF Trust is currently generating about 0.06 per unit of volatility. If you would invest 6,217 in GraniteShares ETF Trust on August 26, 2025 and sell it today you would earn a total of 230.00 from holding GraniteShares ETF Trust or generate 3.7% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Trust Lunt vs. GraniteShares ETF Trust
Performance |
| Timeline |
| First Trust Lunt |
| GraniteShares ETF Trust |
First Trust and GraniteShares ETF Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and GraniteShares ETF
The main advantage of trading using opposite First Trust and GraniteShares ETF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, GraniteShares ETF 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 ETF will offset losses from the drop in GraniteShares ETF's long position.| First Trust vs. GraniteShares ETF Trust | First Trust vs. Innovator Growth 100 Accelerated | First Trust vs. ProShares SP 500 | First Trust vs. Tema Monopolies and |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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