Correlation Between Global X and Manager Directed
Can any of the company-specific risk be diversified away by investing in both Global X and Manager Directed 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 Manager Directed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X NASDAQ and Manager Directed Portfolios, you can compare the effects of market volatilities on Global X and Manager Directed 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 Manager Directed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and Manager Directed.
Diversification Opportunities for Global X and Manager Directed
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Global and Manager is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Global X NASDAQ and Manager Directed Portfolios in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manager Directed Por 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 NASDAQ are associated (or correlated) with Manager Directed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manager Directed Por has no effect on the direction of Global X i.e., Global X and Manager Directed go up and down completely randomly.
Pair Corralation between Global X and Manager Directed
Given the investment horizon of 90 days Global X NASDAQ is expected to generate 12.19 times more return on investment than Manager Directed. However, Global X is 12.19 times more volatile than Manager Directed Portfolios. It trades about 0.21 of its potential returns per unit of risk. Manager Directed Portfolios is currently generating about 0.41 per unit of risk. If you would invest 1,675 in Global X NASDAQ on October 6, 2024 and sell it today you would earn a total of 78.00 from holding Global X NASDAQ or generate 4.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Global X NASDAQ vs. Manager Directed Portfolios
Performance |
Timeline |
Global X NASDAQ |
Manager Directed Por |
Global X and Manager Directed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and Manager Directed
The main advantage of trading using opposite Global X and Manager Directed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, Manager Directed 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 Manager Directed will offset losses from the drop in Manager Directed's long position.Global X vs. FT Vest Equity | Global X vs. Northern Lights | Global X vs. Dimensional International High | Global X vs. First Trust Exchange Traded |
Manager Directed vs. Draco Evolution AI | Manager Directed vs. ProShares VIX Mid Term | Manager Directed vs. ProShares VIX Short Term | Manager Directed vs. Dynamic Short Short Term |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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