Correlation Between Fidelity Puritan and Fidelity Series
Can any of the company-specific risk be diversified away by investing in both Fidelity Puritan 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 Puritan 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 Puritan Fund and Fidelity Series Floating, you can compare the effects of market volatilities on Fidelity Puritan 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 Puritan with a short position of Fidelity Series. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Puritan and Fidelity Series.
Diversification Opportunities for Fidelity Puritan and Fidelity Series
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Fidelity and Fidelity is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Puritan Fund and Fidelity Series Floating in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Series Floating and Fidelity Puritan 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 Puritan Fund 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 Floating has no effect on the direction of Fidelity Puritan i.e., Fidelity Puritan and Fidelity Series go up and down completely randomly.
Pair Corralation between Fidelity Puritan and Fidelity Series
Assuming the 90 days horizon Fidelity Puritan Fund is expected to generate 4.04 times more return on investment than Fidelity Series. However, Fidelity Puritan is 4.04 times more volatile than Fidelity Series Floating. It trades about 0.21 of its potential returns per unit of risk. Fidelity Series Floating is currently generating about 0.3 per unit of risk. If you would invest 2,407 in Fidelity Puritan Fund on September 2, 2024 and sell it today you would earn a total of 176.00 from holding Fidelity Puritan Fund or generate 7.31% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fidelity Puritan Fund vs. Fidelity Series Floating
Performance |
| Timeline |
| Fidelity Puritan |
| Fidelity Series Floating |
Fidelity Puritan and Fidelity Series Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fidelity Puritan and Fidelity Series
The main advantage of trading using opposite Fidelity Puritan and Fidelity Series positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Puritan 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 Puritan vs. Fidelity Balanced Fund | Fidelity Puritan vs. Fidelity Magellan Fund | Fidelity Puritan vs. Fidelity Growth Income | Fidelity Puritan vs. Fidelity Equity Income Fund |
| Fidelity Series vs. Fidelity Freedom 2015 | Fidelity Series vs. Fidelity Puritan Fund | Fidelity Series vs. Fidelity Puritan Fund | Fidelity Series vs. Fidelity Pennsylvania Municipal |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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