Correlation Between Global X and G2D Investments
Can any of the company-specific risk be diversified away by investing in both Global X and G2D Investments 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 G2D Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Funds and G2D Investments, you can compare the effects of market volatilities on Global X and G2D Investments 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 G2D Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and G2D Investments.
Diversification Opportunities for Global X and G2D Investments
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Global and G2D is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Global X Funds and G2D Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on G2D Investments 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 Funds are associated (or correlated) with G2D Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of G2D Investments has no effect on the direction of Global X i.e., Global X and G2D Investments go up and down completely randomly.
Pair Corralation between Global X and G2D Investments
Assuming the 90 days trading horizon Global X Funds is expected to generate 0.5 times more return on investment than G2D Investments. However, Global X Funds is 2.0 times less risky than G2D Investments. It trades about 0.22 of its potential returns per unit of risk. G2D Investments is currently generating about -0.05 per unit of risk. If you would invest 4,200 in Global X Funds on September 5, 2024 and sell it today you would earn a total of 890.00 from holding Global X Funds or generate 21.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Global X Funds vs. G2D Investments
Performance |
Timeline |
Global X Funds |
G2D Investments |
Global X and G2D Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and G2D Investments
The main advantage of trading using opposite Global X and G2D Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, G2D Investments 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 G2D Investments will offset losses from the drop in G2D Investments' long position.Global X vs. Taiwan Semiconductor Manufacturing | Global X vs. Apple Inc | Global X vs. Alibaba Group Holding | Global X vs. Microsoft |
G2D Investments vs. Global X Funds | G2D Investments vs. Dell Technologies | G2D Investments vs. Take Two Interactive Software | G2D Investments vs. Healthpeak Properties |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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