Correlation Between Visa and Global X
Can any of the company-specific risk be diversified away by investing in both Visa and Global X 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 Visa and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Visa Class A and Global X Marijuana, you can compare the effects of market volatilities on Visa and Global X 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 Visa with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of Visa and Global X.
Diversification Opportunities for Visa and Global X
Very good diversification
The 3 months correlation between Visa and Global is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Visa Class A and Global X Marijuana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X Marijuana and Visa 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 Visa Class A are associated (or correlated) with Global X. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global X Marijuana has no effect on the direction of Visa i.e., Visa and Global X go up and down completely randomly.
Pair Corralation between Visa and Global X
Taking into account the 90-day investment horizon Visa Class A is expected to generate 0.74 times more return on investment than Global X. However, Visa Class A is 1.36 times less risky than Global X. It trades about 0.1 of its potential returns per unit of risk. Global X Marijuana is currently generating about -0.02 per unit of risk. If you would invest 27,246 in Visa Class A on September 23, 2024 and sell it today you would earn a total of 4,525 from holding Visa Class A or generate 16.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Visa Class A vs. Global X Marijuana
Performance |
Timeline |
Visa Class A |
Global X Marijuana |
Visa and Global X Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Visa and Global X
The main advantage of trading using opposite Visa and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Visa position performs unexpectedly, Global X 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 Global X will offset losses from the drop in Global X's long position.The idea behind Visa Class A and Global X Marijuana pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Global X vs. First Asset Tech | Global X vs. Harvest Equal Weight | Global X vs. First Asset Energy | Global X vs. BMO Covered Call |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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