Correlation Between VanEck FTSE and VanEck Global
Can any of the company-specific risk be diversified away by investing in both VanEck FTSE and VanEck Global 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 FTSE and VanEck Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VanEck FTSE China and VanEck Global Clean, you can compare the effects of market volatilities on VanEck FTSE and VanEck Global 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 FTSE with a short position of VanEck Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of VanEck FTSE and VanEck Global.
Diversification Opportunities for VanEck FTSE and VanEck Global
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between VanEck and VanEck is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding VanEck FTSE China and VanEck Global Clean in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VanEck Global Clean and VanEck FTSE 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 FTSE China are associated (or correlated) with VanEck Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VanEck Global Clean has no effect on the direction of VanEck FTSE i.e., VanEck FTSE and VanEck Global go up and down completely randomly.
Pair Corralation between VanEck FTSE and VanEck Global
Assuming the 90 days trading horizon VanEck FTSE China is expected to generate 0.86 times more return on investment than VanEck Global. However, VanEck FTSE China is 1.17 times less risky than VanEck Global. It trades about -0.01 of its potential returns per unit of risk. VanEck Global Clean is currently generating about -0.01 per unit of risk. If you would invest 5,910 in VanEck FTSE China on December 30, 2024 and sell it today you would lose (73.00) from holding VanEck FTSE China or give up 1.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
VanEck FTSE China vs. VanEck Global Clean
Performance |
Timeline |
VanEck FTSE China |
VanEck Global Clean |
VanEck FTSE and VanEck Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VanEck FTSE and VanEck Global
The main advantage of trading using opposite VanEck FTSE and VanEck Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VanEck FTSE position performs unexpectedly, VanEck Global 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 VanEck Global will offset losses from the drop in VanEck Global's long position.VanEck FTSE vs. VanEck Vectors Australian | VanEck FTSE vs. VanEck MSCI International | VanEck FTSE vs. VanEck Global Clean | VanEck FTSE vs. VanEck MSCI Australian |
VanEck Global vs. VanEck Vectors Australian | VanEck Global vs. VanEck FTSE China | VanEck Global vs. VanEck MSCI International | VanEck Global vs. VanEck MSCI Australian |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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