Correlation Between Fidelity Contrafund and Wilmington New
Can any of the company-specific risk be diversified away by investing in both Fidelity Contrafund and Wilmington New 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 Contrafund and Wilmington New into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Contrafund and Wilmington New York, you can compare the effects of market volatilities on Fidelity Contrafund and Wilmington New 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 Contrafund with a short position of Wilmington New. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Contrafund and Wilmington New.
Diversification Opportunities for Fidelity Contrafund and Wilmington New
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fidelity and Wilmington is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Contrafund and Wilmington New York in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilmington New York and Fidelity Contrafund 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 Contrafund are associated (or correlated) with Wilmington New. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilmington New York has no effect on the direction of Fidelity Contrafund i.e., Fidelity Contrafund and Wilmington New go up and down completely randomly.
Pair Corralation between Fidelity Contrafund and Wilmington New
Assuming the 90 days horizon Fidelity Contrafund is expected to generate 3.52 times more return on investment than Wilmington New. However, Fidelity Contrafund is 3.52 times more volatile than Wilmington New York. It trades about 0.23 of its potential returns per unit of risk. Wilmington New York is currently generating about 0.22 per unit of risk. If you would invest 2,104 in Fidelity Contrafund on September 1, 2024 and sell it today you would earn a total of 90.00 from holding Fidelity Contrafund or generate 4.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Fidelity Contrafund vs. Wilmington New York
Performance |
Timeline |
Fidelity Contrafund |
Wilmington New York |
Fidelity Contrafund and Wilmington New Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Contrafund and Wilmington New
The main advantage of trading using opposite Fidelity Contrafund and Wilmington New positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Contrafund position performs unexpectedly, Wilmington New 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 Wilmington New will offset losses from the drop in Wilmington New's long position.Fidelity Contrafund vs. Fidelity Low Priced Stock | Fidelity Contrafund vs. Fidelity Growth Pany | Fidelity Contrafund vs. Fidelity Magellan Fund | Fidelity Contrafund vs. Fidelity Diversified International |
Wilmington New vs. Wilmington Global Alpha | Wilmington New vs. Wilmington Global Alpha | Wilmington New vs. Wilmington Broad Market | Wilmington New vs. Wilmington Municipal Bond |
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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