Correlation Between IPath Bloomberg and IShares Commodity
Can any of the company-specific risk be diversified away by investing in both IPath Bloomberg and IShares Commodity 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 IPath Bloomberg and IShares Commodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iPath Bloomberg Commodity and iShares Commodity Curve, you can compare the effects of market volatilities on IPath Bloomberg and IShares Commodity 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 IPath Bloomberg with a short position of IShares Commodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Bloomberg and IShares Commodity.
Diversification Opportunities for IPath Bloomberg and IShares Commodity
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between IPath and IShares is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding iPath Bloomberg Commodity and iShares Commodity Curve in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Commodity Curve and IPath 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 iPath Bloomberg Commodity are associated (or correlated) with IShares Commodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Commodity Curve has no effect on the direction of IPath Bloomberg i.e., IPath Bloomberg and IShares Commodity go up and down completely randomly.
Pair Corralation between IPath Bloomberg and IShares Commodity
Considering the 90-day investment horizon iPath Bloomberg Commodity is expected to generate 1.34 times more return on investment than IShares Commodity. However, IPath Bloomberg is 1.34 times more volatile than iShares Commodity Curve. It trades about 0.19 of its potential returns per unit of risk. iShares Commodity Curve is currently generating about 0.06 per unit of risk. If you would invest 3,205 in iPath Bloomberg Commodity on December 28, 2024 and sell it today you would earn a total of 290.00 from holding iPath Bloomberg Commodity or generate 9.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iPath Bloomberg Commodity vs. iShares Commodity Curve
Performance |
Timeline |
iPath Bloomberg Commodity |
iShares Commodity Curve |
IPath Bloomberg and IShares Commodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IPath Bloomberg and IShares Commodity
The main advantage of trading using opposite IPath Bloomberg and IShares Commodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Bloomberg position performs unexpectedly, IShares Commodity 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 IShares Commodity will offset losses from the drop in IShares Commodity's long position.IPath Bloomberg vs. iShares SP GSCI | IPath Bloomberg vs. Invesco DB Commodity | IPath Bloomberg vs. Invesco DB Base |
IShares Commodity vs. iShares Bloomberg Roll | IShares Commodity vs. USCF SummerHaven Dynamic | IShares Commodity vs. abrdn Bloomberg All | IShares Commodity vs. GraniteShares Bloomberg Commodity |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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