Correlation Between Fidelity Emerging and Fidelity Series
Can any of the company-specific risk be diversified away by investing in both Fidelity Emerging and Fidelity Series 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 Emerging and Fidelity Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Emerging Asia and Fidelity Series Large, you can compare the effects of market volatilities on Fidelity Emerging and Fidelity Series 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 Emerging with a short position of Fidelity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Emerging and Fidelity Series.
Diversification Opportunities for Fidelity Emerging and Fidelity Series
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between FIDELITY and Fidelity is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Emerging Asia and Fidelity Series Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Large and Fidelity Emerging 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 Emerging Asia are associated (or correlated) with Fidelity Series. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Series Large has no effect on the direction of Fidelity Emerging i.e., Fidelity Emerging and Fidelity Series go up and down completely randomly.
Pair Corralation between Fidelity Emerging and Fidelity Series
Assuming the 90 days horizon Fidelity Emerging Asia is expected to generate 0.92 times more return on investment than Fidelity Series. However, Fidelity Emerging Asia is 1.09 times less risky than Fidelity Series. It trades about 0.05 of its potential returns per unit of risk. Fidelity Series Large is currently generating about -0.13 per unit of risk. If you would invest 4,990 in Fidelity Emerging Asia on December 24, 2024 and sell it today you would earn a total of 155.00 from holding Fidelity Emerging Asia or generate 3.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Emerging Asia vs. Fidelity Series Large
Performance |
Timeline |
Fidelity Emerging Asia |
Fidelity Series Large |
Fidelity Emerging and Fidelity Series Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Emerging and Fidelity Series
The main advantage of trading using opposite Fidelity Emerging and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Emerging position performs unexpectedly, Fidelity Series 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 Fidelity Series will offset losses from the drop in Fidelity Series' long position.Fidelity Emerging vs. Fidelity China Region | Fidelity Emerging vs. Fidelity Emerging Markets | Fidelity Emerging vs. Fidelity Canada Fund | Fidelity Emerging vs. Fidelity Pacific Basin |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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