Correlation Between VanEck New and Dow Jones
Can any of the company-specific risk be diversified away by investing in both VanEck New 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 VanEck New and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VanEck New China and Dow Jones Industrial, you can compare the effects of market volatilities on VanEck New 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 VanEck New with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of VanEck New and Dow Jones.
Diversification Opportunities for VanEck New and Dow Jones
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between VanEck and Dow is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding VanEck New China 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 VanEck New 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 VanEck New China 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 VanEck New i.e., VanEck New and Dow Jones go up and down completely randomly.
Pair Corralation between VanEck New and Dow Jones
Assuming the 90 days trading horizon VanEck New is expected to generate 1.53 times less return on investment than Dow Jones. In addition to that, VanEck New is 3.19 times more volatile than Dow Jones Industrial. It trades about 0.03 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of volatility. If you would invest 3,857,103 in Dow Jones Industrial on August 31, 2024 and sell it today you would earn a total of 633,962 from holding Dow Jones Industrial or generate 16.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 98.45% |
| Values | Daily Returns |
VanEck New China vs. Dow Jones Industrial
Performance |
| Timeline |
VanEck New and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
VanEck New China
Pair trading matchups for VanEck New
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with VanEck New and Dow Jones
The main advantage of trading using opposite VanEck New and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VanEck New 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.| VanEck New vs. Vanguard FTSE Developed | VanEck New vs. Leverage Shares 2x | VanEck New vs. Amundi Index Solutions | VanEck New vs. Amundi Index Solutions |
| Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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