Correlation Between GraniteShares and Dow Jones
Can any of the company-specific risk be diversified away by investing in both GraniteShares and Dow Jones 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 GraniteShares and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GraniteShares 3x Long and Dow Jones Industrial, you can compare the effects of market volatilities on GraniteShares and Dow Jones 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 GraniteShares with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of GraniteShares and Dow Jones.
Diversification Opportunities for GraniteShares and Dow Jones
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GraniteShares and Dow is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding GraniteShares 3x Long and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and GraniteShares 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 GraniteShares 3x Long are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of GraniteShares i.e., GraniteShares and Dow Jones go up and down completely randomly.
Pair Corralation between GraniteShares and Dow Jones
Assuming the 90 days trading horizon GraniteShares 3x Long is expected to generate 6.0 times more return on investment than Dow Jones. However, GraniteShares is 6.0 times more volatile than Dow Jones Industrial. It trades about 0.33 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.02 per unit of risk. If you would invest 8,022 in GraniteShares 3x Long on September 15, 2024 and sell it today you would earn a total of 2,011 from holding GraniteShares 3x Long or generate 25.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.45% |
Values | Daily Returns |
GraniteShares 3x Long vs. Dow Jones Industrial
Performance |
Timeline |
GraniteShares and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
GraniteShares 3x Long
Pair trading matchups for GraniteShares
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with GraniteShares and Dow Jones
The main advantage of trading using opposite GraniteShares and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GraniteShares position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.GraniteShares vs. GraniteShares 3x Short | GraniteShares vs. GraniteShares 3x Long | GraniteShares vs. GraniteShares 3x Long | GraniteShares vs. GraniteShares 1x Short |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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