Correlation Between Fidelity Contrafund and First Trust
Can any of the company-specific risk be diversified away by investing in both Fidelity Contrafund and First Trust 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 First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Contrafund and First Trust Short, you can compare the effects of market volatilities on Fidelity Contrafund and First Trust 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 First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Contrafund and First Trust.
Diversification Opportunities for Fidelity Contrafund and First Trust
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Fidelity and First is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Contrafund and First Trust Short in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Short 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 First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Short has no effect on the direction of Fidelity Contrafund i.e., Fidelity Contrafund and First Trust go up and down completely randomly.
Pair Corralation between Fidelity Contrafund and First Trust
Assuming the 90 days horizon Fidelity Contrafund is expected to under-perform the First Trust. In addition to that, Fidelity Contrafund is 7.29 times more volatile than First Trust Short. It trades about -0.03 of its total potential returns per unit of risk. First Trust Short is currently generating about 0.06 per unit of volatility. If you would invest 1,771 in First Trust Short on December 29, 2024 and sell it today you would earn a total of 11.00 from holding First Trust Short or generate 0.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Contrafund vs. First Trust Short
Performance |
Timeline |
Fidelity Contrafund |
First Trust Short |
Fidelity Contrafund and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Contrafund and First Trust
The main advantage of trading using opposite Fidelity Contrafund and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Contrafund position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust'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 |
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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 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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