Correlation Between Fidelity Trend and New Economy
Can any of the company-specific risk be diversified away by investing in both Fidelity Trend and New Economy 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 Trend and New Economy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Trend Fund and New Economy Fund, you can compare the effects of market volatilities on Fidelity Trend and New Economy 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 Trend with a short position of New Economy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Trend and New Economy.
Diversification Opportunities for Fidelity Trend and New Economy
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Fidelity and New is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Trend Fund and New Economy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on New Economy Fund and Fidelity Trend 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 Trend Fund are associated (or correlated) with New Economy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of New Economy Fund has no effect on the direction of Fidelity Trend i.e., Fidelity Trend and New Economy go up and down completely randomly.
Pair Corralation between Fidelity Trend and New Economy
Assuming the 90 days horizon Fidelity Trend Fund is expected to generate 1.43 times more return on investment than New Economy. However, Fidelity Trend is 1.43 times more volatile than New Economy Fund. It trades about 0.23 of its potential returns per unit of risk. New Economy Fund is currently generating about 0.15 per unit of risk. If you would invest 18,455 in Fidelity Trend Fund on September 16, 2024 and sell it today you would earn a total of 3,356 from holding Fidelity Trend Fund or generate 18.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Trend Fund vs. New Economy Fund
Performance |
Timeline |
Fidelity Trend |
New Economy Fund |
Fidelity Trend and New Economy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Trend and New Economy
The main advantage of trading using opposite Fidelity Trend and New Economy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Trend position performs unexpectedly, New Economy 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 New Economy will offset losses from the drop in New Economy's long position.Fidelity Trend vs. Fidelity Stock Selector | Fidelity Trend vs. Fidelity Focused Stock | Fidelity Trend vs. Fidelity Disciplined Equity | Fidelity Trend vs. Fidelity Stock Selector |
New Economy vs. Balanced Fund Investor | New Economy vs. Commonwealth Global Fund | New Economy vs. T Rowe Price | New Economy vs. T Rowe Price |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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