Correlation Between Fidelity Value and Global X
Can any of the company-specific risk be diversified away by investing in both Fidelity Value 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 Fidelity Value and Global X into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Value Factor and Global X SuperDividend, you can compare the effects of market volatilities on Fidelity Value 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 Fidelity Value with a short position of Global X. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Value and Global X.
Diversification Opportunities for Fidelity Value and Global X
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fidelity and Global is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Value Factor and Global X SuperDividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global X SuperDividend and Fidelity Value 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 Fidelity Value Factor 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 SuperDividend has no effect on the direction of Fidelity Value i.e., Fidelity Value and Global X go up and down completely randomly.
Pair Corralation between Fidelity Value and Global X
Given the investment horizon of 90 days Fidelity Value Factor is expected to under-perform the Global X. But the etf apears to be less risky and, when comparing its historical volatility, Fidelity Value Factor is 1.12 times less risky than Global X. The etf trades about -0.2 of its potential returns per unit of risk. The Global X SuperDividend is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 2,124 in Global X SuperDividend on October 5, 2024 and sell it today you would lose (41.00) from holding Global X SuperDividend or give up 1.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Value Factor vs. Global X SuperDividend
Performance |
Timeline |
Fidelity Value Factor |
Global X SuperDividend |
Fidelity Value and Global X Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Value and Global X
The main advantage of trading using opposite Fidelity Value and Global X positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Value 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.Fidelity Value vs. Fidelity Momentum Factor | Fidelity Value vs. Fidelity Dividend ETF | Fidelity Value vs. Fidelity High Dividend |
Global X vs. Global X SuperDividend | Global X vs. Invesco KBW High | Global X vs. Global X SuperDividend | Global X vs. Invesco SP 500 |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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