Correlation Between Fidelity Small and Mfs Emerging
Can any of the company-specific risk be diversified away by investing in both Fidelity Small and Mfs Emerging 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 Small and Mfs Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Small Cap and Mfs Emerging Markets, you can compare the effects of market volatilities on Fidelity Small and Mfs Emerging 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 Small with a short position of Mfs Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Small and Mfs Emerging.
Diversification Opportunities for Fidelity Small and Mfs Emerging
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fidelity and Mfs is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Small Cap and Mfs Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mfs Emerging Markets and Fidelity Small 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 Small Cap are associated (or correlated) with Mfs Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mfs Emerging Markets has no effect on the direction of Fidelity Small i.e., Fidelity Small and Mfs Emerging go up and down completely randomly.
Pair Corralation between Fidelity Small and Mfs Emerging
Assuming the 90 days horizon Fidelity Small Cap is expected to under-perform the Mfs Emerging. In addition to that, Fidelity Small is 2.68 times more volatile than Mfs Emerging Markets. It trades about -0.06 of its total potential returns per unit of risk. Mfs Emerging Markets is currently generating about 0.17 per unit of volatility. If you would invest 524.00 in Mfs Emerging Markets on December 20, 2024 and sell it today you would earn a total of 21.00 from holding Mfs Emerging Markets or generate 4.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Small Cap vs. Mfs Emerging Markets
Performance |
Timeline |
Fidelity Small Cap |
Mfs Emerging Markets |
Fidelity Small and Mfs Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Small and Mfs Emerging
The main advantage of trading using opposite Fidelity Small and Mfs Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Small position performs unexpectedly, Mfs Emerging 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 Mfs Emerging will offset losses from the drop in Mfs Emerging's long position.Fidelity Small vs. Fidelity Small Cap | Fidelity Small vs. Fidelity Small Cap | Fidelity Small vs. Fidelity Mid Cap | Fidelity Small vs. Fidelity Advisor Value |
Mfs Emerging vs. Legg Mason Partners | Mfs Emerging vs. Pace High Yield | Mfs Emerging vs. Artisan High Income | Mfs Emerging vs. City National Rochdale |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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