Correlation Between IShares Commodity and UBS AG
Can any of the company-specific risk be diversified away by investing in both IShares Commodity 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 IShares Commodity and UBS AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Commodity Curve and UBS AG London, you can compare the effects of market volatilities on IShares Commodity 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 IShares Commodity with a short position of UBS AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Commodity and UBS AG.
Diversification Opportunities for IShares Commodity and UBS AG
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between IShares and UBS is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding iShares Commodity Curve 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 IShares Commodity 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 iShares Commodity Curve 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 IShares Commodity i.e., IShares Commodity and UBS AG go up and down completely randomly.
Pair Corralation between IShares Commodity and UBS AG
Given the investment horizon of 90 days IShares Commodity is expected to generate 1.81 times less return on investment than UBS AG. But when comparing it to its historical volatility, iShares Commodity Curve is 2.19 times less risky than UBS AG. It trades about 0.03 of its potential returns per unit of risk. UBS AG London is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 2,427 in UBS AG London on September 16, 2024 and sell it today you would earn a total of 153.00 from holding UBS AG London or generate 6.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Commodity Curve vs. UBS AG London
Performance |
Timeline |
iShares Commodity Curve |
UBS AG London |
IShares Commodity and UBS AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Commodity and UBS AG
The main advantage of trading using opposite IShares Commodity and UBS AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Commodity 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.IShares Commodity vs. abrdn Bloomberg All | IShares Commodity vs. iShares GSCI Commodity | IShares Commodity vs. abrdn Bloomberg All |
UBS AG vs. abrdn Bloomberg All | UBS AG vs. iShares GSCI Commodity | UBS AG vs. abrdn Bloomberg All | UBS AG 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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