Correlation Between Global X and First Trust
Can any of the company-specific risk be diversified away by investing in both Global X and First Trust 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 First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X SP and First Trust Exchange Traded, you can compare the effects of market volatilities on Global X and First Trust 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 First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and First Trust.
Diversification Opportunities for Global X and First Trust
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Global and First is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Global X SP and First Trust Exchange Traded in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Exchange 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 SP are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Exchange has no effect on the direction of Global X i.e., Global X and First Trust go up and down completely randomly.
Pair Corralation between Global X and First Trust
Given the investment horizon of 90 days Global X is expected to generate 2.38 times less return on investment than First Trust. But when comparing it to its historical volatility, Global X SP is 1.34 times less risky than First Trust. It trades about 0.22 of its potential returns per unit of risk. First Trust Exchange Traded is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 1,937 in First Trust Exchange Traded on August 29, 2024 and sell it today you would earn a total of 120.00 from holding First Trust Exchange Traded or generate 6.2% 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 SP vs. First Trust Exchange Traded
Performance |
| Timeline |
| Global X SP |
| First Trust Exchange |
Global X and First Trust Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global X and First Trust
The main advantage of trading using opposite Global X and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.| Global X vs. Global X Russell | Global X vs. Global X NASDAQ | Global X vs. NEOS ETF Trust | Global X vs. JPMorgan Equity Premium |
| First Trust vs. First Trust Exchange Traded | First Trust vs. Ultimus Managers Trust | First Trust vs. Horizon Kinetics Medical | First Trust vs. Harbor Health Care |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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