Correlation Between Mid Cap and Fidelity Series
Can any of the company-specific risk be diversified away by investing in both Mid Cap 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 Mid Cap and Fidelity Series into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mid Cap Value and Fidelity Series Intrinsic, you can compare the effects of market volatilities on Mid Cap 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 Mid Cap with a short position of Fidelity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mid Cap and Fidelity Series.
Diversification Opportunities for Mid Cap and Fidelity Series
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Mid and Fidelity is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Mid Cap Value and Fidelity Series Intrinsic in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Intrinsic and Mid Cap 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 Mid Cap Value 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 Intrinsic has no effect on the direction of Mid Cap i.e., Mid Cap and Fidelity Series go up and down completely randomly.
Pair Corralation between Mid Cap and Fidelity Series
Assuming the 90 days horizon Mid Cap Value is expected to generate 0.99 times more return on investment than Fidelity Series. However, Mid Cap Value is 1.01 times less risky than Fidelity Series. It trades about -0.12 of its potential returns per unit of risk. Fidelity Series Intrinsic is currently generating about -0.29 per unit of risk. If you would invest 1,595 in Mid Cap Value on January 21, 2024 and sell it today you would lose (33.00) from holding Mid Cap Value or give up 2.07% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 95.45% |
| Values | Daily Returns |
Mid Cap Value vs. Fidelity Series Intrinsic
Performance |
| Timeline |
| Mid Cap Value |
| Fidelity Series Intrinsic |
Mid Cap and Fidelity Series Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mid Cap and Fidelity Series
The main advantage of trading using opposite Mid Cap and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mid Cap 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.| Mid Cap vs. Equity Growth Fund | Mid Cap vs. Income Growth Fund | Mid Cap vs. Diversified Bond Fund | Mid Cap vs. Short Term Government Fund |
| Fidelity Series vs. Fidelity Stock Selector | Fidelity Series vs. Fidelity Value Discovery | Fidelity Series vs. Fidelity Small Cap | Fidelity Series vs. Fidelity Small Cap |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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