Fidelity Managed Retirement Fund Statistic Functions Beta
| FKRVX Fund | USD 54.99 0.09 0.16% |
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The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Fidelity Managed Ret correlated with the market. If Beta is less than 0 Fidelity Managed generally moves in the opposite direction as compared to the market. If Fidelity Managed Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Fidelity Managed Ret is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Fidelity Managed is generally in the same direction as the market. If Beta > 1 Fidelity Managed moves generally in the same direction as, but more than the movement of the benchmark.
Fidelity Managed Technical Analysis Modules
Most technical analysis of Fidelity Managed help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Fidelity Managed Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fidelity Managed Retirement. We use our internally-developed statistical techniques to arrive at the intrinsic value of Fidelity Managed Retirement based on widely used predictive technical indicators. In general, we focus on analyzing Fidelity Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Fidelity Managed's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Fidelity Managed's intrinsic value. In addition to deriving basic predictive indicators for Fidelity Managed, we also check how macroeconomic factors affect Fidelity Managed price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Managed's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Theme RatingsDetermine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |
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Fidelity Managed Ret pair trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fidelity Managed position performs unexpectedly, the other equity 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 Managed will appreciate offsetting losses from the drop in the long position's value.Fidelity Managed Pair Trading
Fidelity Managed Retirement Pair Trading Analysis
The ability to find closely correlated positions to Fidelity Managed could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Managed when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fidelity Managed - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fidelity Managed Retirement to buy it.
The correlation of Fidelity Managed is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fidelity Managed moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Managed Ret moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fidelity Managed can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Fidelity Mutual Fund
Fidelity Managed financial ratios help investors to determine whether Fidelity Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fidelity with respect to the benefits of owning Fidelity Managed security.
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |