Correlation Between Global X and Purpose High
Can any of the company-specific risk be diversified away by investing in both Global X and Purpose High 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 Purpose High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Cash and Purpose High Interest, you can compare the effects of market volatilities on Global X and Purpose High 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 Purpose High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and Purpose High.
Diversification Opportunities for Global X and Purpose High
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Global and Purpose is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Global X Cash and Purpose High Interest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Purpose High Interest 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 Cash are associated (or correlated) with Purpose High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Purpose High Interest has no effect on the direction of Global X i.e., Global X and Purpose High go up and down completely randomly.
Pair Corralation between Global X and Purpose High
Assuming the 90 days trading horizon Global X is expected to generate 30.22 times less return on investment than Purpose High. But when comparing it to its historical volatility, Global X Cash is 29.13 times less risky than Purpose High. It trades about 0.21 of its potential returns per unit of risk. Purpose High Interest is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 4,713 in Purpose High Interest on September 24, 2024 and sell it today you would earn a total of 299.00 from holding Purpose High Interest or generate 6.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Global X Cash vs. Purpose High Interest
Performance |
Timeline |
Global X Cash |
Purpose High Interest |
Global X and Purpose High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and Purpose High
The main advantage of trading using opposite Global X and Purpose High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, Purpose High 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 Purpose High will offset losses from the drop in Purpose High's long position.Global X vs. Manulife Multifactor Mid | Global X vs. Manulife Multifactor Canadian | Global X vs. Manulife Multifactor Large | Global X vs. Manulife Multifactor Canadian |
Purpose High vs. GLOBAL X HIGH | Purpose High vs. Global X Cash | Purpose High vs. iShares Premium Money | Purpose High vs. iShares Canadian HYBrid |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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