Correlation Between IPath Series and Dow Jones
Can any of the company-specific risk be diversified away by investing in both IPath Series and Dow Jones 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 Series and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iPath Series B and Dow Jones Industrial, you can compare the effects of market volatilities on IPath Series and Dow Jones 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 Series with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of IPath Series and Dow Jones.
Diversification Opportunities for IPath Series and Dow Jones
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IPath and Dow is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding iPath Series B and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and IPath Series 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 Series B are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of IPath Series i.e., IPath Series and Dow Jones go up and down completely randomly.
Pair Corralation between IPath Series and Dow Jones
Considering the 90-day investment horizon iPath Series B is expected to under-perform the Dow Jones. In addition to that, IPath Series is 6.14 times more volatile than Dow Jones Industrial. It trades about -0.05 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.08 per unit of volatility. If you would invest 3,424,593 in Dow Jones Industrial on November 2, 2024 and sell it today you would earn a total of 1,029,873 from holding Dow Jones Industrial or generate 30.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 99.8% |
| Values | Daily Returns |
iPath Series B vs. Dow Jones Industrial
Performance |
| Timeline |
IPath Series and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
iPath Series B
Pair trading matchups for IPath Series
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with IPath Series and Dow Jones
The main advantage of trading using opposite IPath Series and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IPath Series position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| IPath Series vs. ProShares Ultra VIX | IPath Series vs. ProShares Short VIX | IPath Series vs. ProShares UltraPro Short | IPath Series vs. iShares 20 Year |
| Dow Jones vs. Cincinnati Financial | Dow Jones vs. Kellanova | Dow Jones vs. Acme United | Dow Jones vs. Procter Gamble |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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