Correlation Between GraniteShares Bloomberg and UBS AG
Can any of the company-specific risk be diversified away by investing in both GraniteShares Bloomberg and UBS AG 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 Bloomberg and UBS AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GraniteShares Bloomberg Commodity and UBS AG London, you can compare the effects of market volatilities on GraniteShares Bloomberg and UBS AG 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 Bloomberg with a short position of UBS AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of GraniteShares Bloomberg and UBS AG.
Diversification Opportunities for GraniteShares Bloomberg and UBS AG
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between GraniteShares and UBS is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding GraniteShares Bloomberg Commod and UBS AG London in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS AG London and GraniteShares 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 GraniteShares Bloomberg Commodity are associated (or correlated) with UBS AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS AG London has no effect on the direction of GraniteShares Bloomberg i.e., GraniteShares Bloomberg and UBS AG go up and down completely randomly.
Pair Corralation between GraniteShares Bloomberg and UBS AG
Given the investment horizon of 90 days GraniteShares Bloomberg Commodity is expected to generate 0.39 times more return on investment than UBS AG. However, GraniteShares Bloomberg Commodity is 2.59 times less risky than UBS AG. It trades about 0.16 of its potential returns per unit of risk. UBS AG London is currently generating about 0.03 per unit of risk. If you would invest 1,953 in GraniteShares Bloomberg Commodity on December 2, 2024 and sell it today you would earn a total of 139.00 from holding GraniteShares Bloomberg Commodity or generate 7.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
GraniteShares Bloomberg Commod vs. UBS AG London
Performance |
Timeline |
GraniteShares Bloomberg |
UBS AG London |
GraniteShares Bloomberg and UBS AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GraniteShares Bloomberg and UBS AG
The main advantage of trading using opposite GraniteShares Bloomberg and UBS AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GraniteShares Bloomberg position performs unexpectedly, UBS AG 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 UBS AG will offset losses from the drop in UBS AG's long position.GraniteShares Bloomberg vs. abrdn Bloomberg All | GraniteShares Bloomberg vs. iShares Bloomberg Roll | GraniteShares Bloomberg vs. abrdn Bloomberg All | GraniteShares Bloomberg vs. Direxion Auspice Broad |
UBS AG vs. USCF SummerHaven Dynamic | UBS AG vs. First Trust Alternative | UBS AG vs. iShares Bloomberg Roll |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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