Correlation Between Aston Martin and Fidelity Freedom
Can any of the company-specific risk be diversified away by investing in both Aston Martin and Fidelity Freedom 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 Aston Martin and Fidelity Freedom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aston Martin Lagonda and Fidelity Freedom 2040, you can compare the effects of market volatilities on Aston Martin and Fidelity Freedom 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 Aston Martin with a short position of Fidelity Freedom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aston Martin and Fidelity Freedom.
Diversification Opportunities for Aston Martin and Fidelity Freedom
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Aston and Fidelity is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Aston Martin Lagonda and Fidelity Freedom 2040 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Freedom 2040 and Aston Martin 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 Aston Martin Lagonda are associated (or correlated) with Fidelity Freedom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Freedom 2040 has no effect on the direction of Aston Martin i.e., Aston Martin and Fidelity Freedom go up and down completely randomly.
Pair Corralation between Aston Martin and Fidelity Freedom
Assuming the 90 days horizon Aston Martin Lagonda is expected to under-perform the Fidelity Freedom. In addition to that, Aston Martin is 2.29 times more volatile than Fidelity Freedom 2040. It trades about -0.11 of its total potential returns per unit of risk. Fidelity Freedom 2040 is currently generating about -0.25 per unit of volatility. If you would invest 1,232 in Fidelity Freedom 2040 on October 9, 2024 and sell it today you would lose (59.00) from holding Fidelity Freedom 2040 or give up 4.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Aston Martin Lagonda vs. Fidelity Freedom 2040
Performance |
Timeline |
Aston Martin Lagonda |
Fidelity Freedom 2040 |
Aston Martin and Fidelity Freedom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aston Martin and Fidelity Freedom
The main advantage of trading using opposite Aston Martin and Fidelity Freedom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aston Martin position performs unexpectedly, Fidelity Freedom 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 Freedom will offset losses from the drop in Fidelity Freedom's long position.Aston Martin vs. Geely Automobile Holdings | Aston Martin vs. Guangzhou Automobile Group | Aston Martin vs. Dowlais Group plc | Aston Martin vs. NFI Group |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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