Correlation Between Invesco DB and IPath Series
Can any of the company-specific risk be diversified away by investing in both Invesco DB and IPath Series 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 IPath Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco DB Dollar and iPath Series B, you can compare the effects of market volatilities on Invesco DB and IPath Series 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 IPath Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco DB and IPath Series.
Diversification Opportunities for Invesco DB and IPath Series
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Invesco and IPath is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Invesco DB Dollar and iPath Series B in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iPath Series B 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 Dollar are associated (or correlated) with IPath Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iPath Series B has no effect on the direction of Invesco DB i.e., Invesco DB and IPath Series go up and down completely randomly.
Pair Corralation between Invesco DB and IPath Series
Considering the 90-day investment horizon Invesco DB Dollar is expected to generate 0.32 times more return on investment than IPath Series. However, Invesco DB Dollar is 3.12 times less risky than IPath Series. It trades about 0.32 of its potential returns per unit of risk. iPath Series B is currently generating about -0.15 per unit of risk. If you would invest 2,928 in Invesco DB Dollar on August 27, 2024 and sell it today you would earn a total of 105.00 from holding Invesco DB Dollar or generate 3.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Invesco DB Dollar vs. iPath Series B
Performance |
| Timeline |
| Invesco DB Dollar |
| iPath Series B |
Invesco DB and IPath Series Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Invesco DB and IPath Series
The main advantage of trading using opposite Invesco DB and IPath Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco DB position performs unexpectedly, IPath Series 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 IPath Series will offset losses from the drop in IPath Series' long position.| Invesco DB vs. Invesco DB Dollar | Invesco DB vs. Invesco CurrencyShares Euro | Invesco DB vs. Invesco CurrencyShares Japanese | Invesco DB vs. iShares 20 Year |
| IPath Series vs. ProShares VIX Mid Term | IPath Series vs. ProShares VIX Short Term | IPath Series vs. iPath Series B | IPath Series vs. ProShares Short VIX |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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