Correlation Between GraniteShares 125x and Dow Jones
Can any of the company-specific risk be diversified away by investing in both GraniteShares 125x 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 125x 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 125x Long and Dow Jones Industrial, you can compare the effects of market volatilities on GraniteShares 125x 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 125x with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of GraniteShares 125x and Dow Jones.
Diversification Opportunities for GraniteShares 125x and Dow Jones
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GraniteShares and Dow is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding GraniteShares 125x 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 125x 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 125x 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 125x i.e., GraniteShares 125x and Dow Jones go up and down completely randomly.
Pair Corralation between GraniteShares 125x and Dow Jones
Considering the 90-day investment horizon GraniteShares 125x Long is expected to generate 7.55 times more return on investment than Dow Jones. However, GraniteShares 125x is 7.55 times more volatile than Dow Jones Industrial. It trades about 0.18 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.03 per unit of risk. If you would invest 1,084 in GraniteShares 125x Long on September 30, 2024 and sell it today you would earn a total of 883.00 from holding GraniteShares 125x Long or generate 81.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.46% |
Values | Daily Returns |
GraniteShares 125x Long vs. Dow Jones Industrial
Performance |
Timeline |
GraniteShares 125x and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
GraniteShares 125x Long
Pair trading matchups for GraniteShares 125x
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with GraniteShares 125x and Dow Jones
The main advantage of trading using opposite GraniteShares 125x and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GraniteShares 125x 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 125x vs. Direxion Daily SP500 | GraniteShares 125x vs. ProShares UltraPro SP500 | GraniteShares 125x vs. ProShares Ultra Financials |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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