Correlation Between Dow Jones and IShares Trust
Can any of the company-specific risk be diversified away by investing in both Dow Jones and IShares Trust 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 Dow Jones and IShares Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and iShares Trust , you can compare the effects of market volatilities on Dow Jones and IShares Trust 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 Dow Jones with a short position of IShares Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and IShares Trust.
Diversification Opportunities for Dow Jones and IShares Trust
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and IShares is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and iShares Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Trust and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with IShares Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Trust has no effect on the direction of Dow Jones i.e., Dow Jones and IShares Trust go up and down completely randomly.
Pair Corralation between Dow Jones and IShares Trust
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 1.86 times more return on investment than IShares Trust. However, Dow Jones is 1.86 times more volatile than iShares Trust . It trades about 0.16 of its potential returns per unit of risk. iShares Trust is currently generating about 0.13 per unit of risk. If you would invest 3,305,287 in Dow Jones Industrial on August 26, 2024 and sell it today you would earn a total of 1,124,364 from holding Dow Jones Industrial or generate 34.02% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. iShares Trust
Performance |
| Timeline |
Dow Jones and IShares Trust Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
iShares Trust
Pair trading matchups for IShares Trust
Pair Trading with Dow Jones and IShares Trust
The main advantage of trading using opposite Dow Jones and IShares Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, IShares Trust 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 Trust will offset losses from the drop in IShares Trust's long position.| Dow Jones vs. Vistra Energy Corp | Dow Jones vs. Fluence Energy | Dow Jones vs. Old Republic International | Dow Jones vs. Empresa Distribuidora y |
| IShares Trust vs. iShares Trust | IShares Trust vs. iShares Trust | IShares Trust vs. iShares iBonds Dec | IShares Trust vs. iShares iBonds Dec |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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