Correlation Between Abrdn Bloomberg and USCF SummerHaven
Can any of the company-specific risk be diversified away by investing in both Abrdn Bloomberg 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 Abrdn Bloomberg and USCF SummerHaven into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between abrdn Bloomberg All and USCF SummerHaven Dynamic, you can compare the effects of market volatilities on Abrdn Bloomberg 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 Abrdn Bloomberg with a short position of USCF SummerHaven. Check out your portfolio center. Please also check ongoing floating volatility patterns of Abrdn Bloomberg and USCF SummerHaven.
Diversification Opportunities for Abrdn Bloomberg and USCF SummerHaven
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Abrdn and USCF is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding abrdn Bloomberg All 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 Abrdn Bloomberg 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 abrdn Bloomberg All 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 Abrdn Bloomberg i.e., Abrdn Bloomberg and USCF SummerHaven go up and down completely randomly.
Pair Corralation between Abrdn Bloomberg and USCF SummerHaven
Considering the 90-day investment horizon abrdn Bloomberg All is expected to under-perform the USCF SummerHaven. But the etf apears to be less risky and, when comparing its historical volatility, abrdn Bloomberg All is 1.24 times less risky than USCF SummerHaven. The etf trades about -0.23 of its potential returns per unit of risk. The USCF SummerHaven Dynamic is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 2,191 in USCF SummerHaven Dynamic on May 13, 2025 and sell it today you would lose (14.00) from holding USCF SummerHaven Dynamic or give up 0.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
abrdn Bloomberg All vs. USCF SummerHaven Dynamic
Performance |
Timeline |
abrdn Bloomberg All |
USCF SummerHaven Dynamic |
Abrdn Bloomberg and USCF SummerHaven Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Abrdn Bloomberg and USCF SummerHaven
The main advantage of trading using opposite Abrdn Bloomberg and USCF SummerHaven positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Abrdn Bloomberg 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.Abrdn Bloomberg vs. abrdn Bloomberg All | Abrdn Bloomberg vs. iShares Bloomberg Roll | Abrdn Bloomberg vs. GraniteShares Bloomberg Commodity | Abrdn Bloomberg vs. iShares GSCI 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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