Correlation Between Global X and Vanguard Mega
Can any of the company-specific risk be diversified away by investing in both Global X and Vanguard Mega 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 Global X and Vanguard Mega into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Social and Vanguard Mega Cap, you can compare the effects of market volatilities on Global X and Vanguard Mega 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 Global X with a short position of Vanguard Mega. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and Vanguard Mega.
Diversification Opportunities for Global X and Vanguard Mega
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Global and Vanguard is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Global X Social and Vanguard Mega Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vanguard Mega Cap and Global X 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 Global X Social are associated (or correlated) with Vanguard Mega. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vanguard Mega Cap has no effect on the direction of Global X i.e., Global X and Vanguard Mega go up and down completely randomly.
Pair Corralation between Global X and Vanguard Mega
Given the investment horizon of 90 days Global X is expected to generate 2.12 times less return on investment than Vanguard Mega. In addition to that, Global X is 1.73 times more volatile than Vanguard Mega Cap. It trades about 0.04 of its total potential returns per unit of risk. Vanguard Mega Cap is currently generating about 0.13 per unit of volatility. If you would invest 20,872 in Vanguard Mega Cap on August 26, 2024 and sell it today you would earn a total of 528.00 from holding Vanguard Mega Cap or generate 2.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Global X Social vs. Vanguard Mega Cap
Performance |
Timeline |
Global X Social |
Vanguard Mega Cap |
Global X and Vanguard Mega Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and Vanguard Mega
The main advantage of trading using opposite Global X and Vanguard Mega positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, Vanguard Mega 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 Vanguard Mega will offset losses from the drop in Vanguard Mega's long position.Global X vs. Vanguard Industrials Index | Global X vs. Vanguard Materials Index | Global X vs. Vanguard Consumer Discretionary | Global X vs. Vanguard Consumer Staples |
Vanguard Mega vs. Vanguard Mega Cap | Vanguard Mega vs. Vanguard Mega Cap | Vanguard Mega vs. Vanguard Large Cap Index | Vanguard Mega vs. Vanguard Mid Cap Growth |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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