Correlation Between OShares Europe and Dow Jones
Can any of the company-specific risk be diversified away by investing in both OShares Europe 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 OShares Europe and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between OShares Europe Quality and Dow Jones Industrial, you can compare the effects of market volatilities on OShares Europe 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 OShares Europe with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of OShares Europe and Dow Jones.
Diversification Opportunities for OShares Europe and Dow Jones
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between OShares and Dow is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding OShares Europe Quality 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 OShares Europe 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 OShares Europe Quality 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 OShares Europe i.e., OShares Europe and Dow Jones go up and down completely randomly.
Pair Corralation between OShares Europe and Dow Jones
Given the investment horizon of 90 days OShares Europe is expected to generate 1.16 times less return on investment than Dow Jones. In addition to that, OShares Europe is 1.18 times more volatile than Dow Jones Industrial. It trades about 0.07 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.09 per unit of volatility. If you would invest 3,265,670 in Dow Jones Industrial on November 19, 2024 and sell it today you would earn a total of 1,188,938 from holding Dow Jones Industrial or generate 36.41% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 99.8% |
| Values | Daily Returns |
OShares Europe Quality vs. Dow Jones Industrial
Performance |
| Timeline |
OShares Europe and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
OShares Europe Quality
Pair trading matchups for OShares Europe
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with OShares Europe and Dow Jones
The main advantage of trading using opposite OShares Europe and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if OShares Europe 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.| OShares Europe vs. OShares Small Cap Quality | OShares Europe vs. OShares Quality Dividend | OShares Europe vs. OShares Global Internet | OShares Europe vs. WisdomTree Europe Quality |
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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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