Correlation Between Western Asset and Fidelity Flex
Can any of the company-specific risk be diversified away by investing in both Western Asset and Fidelity Flex 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 Western Asset and Fidelity Flex into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Western Asset Short and Fidelity Flex Servative, you can compare the effects of market volatilities on Western Asset and Fidelity Flex 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 Western Asset with a short position of Fidelity Flex. Check out your portfolio center. Please also check ongoing floating volatility patterns of Western Asset and Fidelity Flex.
Diversification Opportunities for Western Asset and Fidelity Flex
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Western and Fidelity is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Western Asset Short and Fidelity Flex Servative in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Flex Servative and Western Asset 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 Western Asset Short are associated (or correlated) with Fidelity Flex. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Flex Servative has no effect on the direction of Western Asset i.e., Western Asset and Fidelity Flex go up and down completely randomly.
Pair Corralation between Western Asset and Fidelity Flex
Assuming the 90 days horizon Western Asset is expected to generate 1.12 times less return on investment than Fidelity Flex. In addition to that, Western Asset is 1.51 times more volatile than Fidelity Flex Servative. It trades about 0.13 of its total potential returns per unit of risk. Fidelity Flex Servative is currently generating about 0.22 per unit of volatility. If you would invest 994.00 in Fidelity Flex Servative on December 22, 2024 and sell it today you would earn a total of 9.00 from holding Fidelity Flex Servative or generate 0.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Western Asset Short vs. Fidelity Flex Servative
Performance |
Timeline |
Western Asset Short |
Fidelity Flex Servative |
Western Asset and Fidelity Flex Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Western Asset and Fidelity Flex
The main advantage of trading using opposite Western Asset and Fidelity Flex positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Western Asset position performs unexpectedly, Fidelity Flex 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 Flex will offset losses from the drop in Fidelity Flex's long position.Western Asset vs. First Eagle Gold | Western Asset vs. Deutsche Gold Precious | Western Asset vs. Precious Metals And | Western Asset vs. Franklin Gold Precious |
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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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