Correlation Between Invesco DB and USCF SummerHaven
Can any of the company-specific risk be diversified away by investing in both Invesco DB and USCF SummerHaven 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 Invesco DB and USCF SummerHaven into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco DB Commodity and USCF SummerHaven Dynamic, you can compare the effects of market volatilities on Invesco DB and USCF SummerHaven 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 Invesco DB with a short position of USCF SummerHaven. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco DB and USCF SummerHaven.
Diversification Opportunities for Invesco DB and USCF SummerHaven
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Invesco and USCF is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Invesco DB Commodity and USCF SummerHaven Dynamic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on USCF SummerHaven Dynamic and Invesco DB 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 Invesco DB Commodity are associated (or correlated) with USCF SummerHaven. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of USCF SummerHaven Dynamic has no effect on the direction of Invesco DB i.e., Invesco DB and USCF SummerHaven go up and down completely randomly.
Pair Corralation between Invesco DB and USCF SummerHaven
Considering the 90-day investment horizon Invesco DB is expected to generate 3.34 times less return on investment than USCF SummerHaven. In addition to that, Invesco DB is 1.31 times more volatile than USCF SummerHaven Dynamic. It trades about 0.04 of its total potential returns per unit of risk. USCF SummerHaven Dynamic is currently generating about 0.16 per unit of volatility. If you would invest 1,865 in USCF SummerHaven Dynamic on September 2, 2024 and sell it today you would earn a total of 160.00 from holding USCF SummerHaven Dynamic or generate 8.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Invesco DB Commodity vs. USCF SummerHaven Dynamic
Performance |
Timeline |
Invesco DB Commodity |
USCF SummerHaven Dynamic |
Invesco DB and USCF SummerHaven Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco DB and USCF SummerHaven
The main advantage of trading using opposite Invesco DB and USCF SummerHaven positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco DB position performs unexpectedly, USCF SummerHaven 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 USCF SummerHaven will offset losses from the drop in USCF SummerHaven's long position.Invesco DB vs. Invesco DB Agriculture | Invesco DB vs. iShares SP GSCI | Invesco DB vs. Invesco DB Base | Invesco DB vs. iPath Bloomberg Commodity |
USCF SummerHaven vs. abrdn Bloomberg All | USCF SummerHaven vs. GraniteShares Bloomberg Commodity | USCF SummerHaven vs. iShares Bloomberg Roll | USCF SummerHaven vs. iShares Commodity Curve |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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