Fidelity Momentum Factor Etf Return On Equity
| FDMO Etf | USD 73.04 0.00 0.00% |
Fidelity Momentum Factor fundamentals help investors to digest information that contributes to Fidelity Momentum's financial success or failures. It also enables traders to predict the movement of Fidelity Etf. The fundamental analysis module provides a way to measure Fidelity Momentum's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Fidelity Momentum etf.
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Fidelity Momentum Factor ETF Return On Equity Analysis
Fidelity Momentum's Return on Equity or ROE tells company stockholders how effectually their money is being utilized or reinvested. It is a useful ratio when analyzing company profitability or the management effectiveness given the capital invested by the shareholders. ROE shows how efficiently a company utilizes investments to generate income.
For most industries, Return on Equity between 10% and 30% are considered desirable to provide dividends to owners and have funds for the future growth of the company. Investors should be very careful using ROE as the only efficiency indicator because ROE can be high if a company is heavily leveraged.
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Based on the latest financial disclosure, Fidelity Momentum Factor has a Return On Equity of 0.0. This indicator is about the same for the Fidelity Investments average (which is currently at 0.0) family and about the same as Large Growth (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).
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Fund Asset Allocation for Fidelity Momentum
The fund invests 99.85% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides Fidelity Momentum's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Fidelity Fundamentals
| Price To Earning | 23.78 X | |||
| Price To Book | 3.71 X | |||
| Price To Sales | 2.77 X | |||
| Number Of Employees | 452 | |||
| Beta | 1.01 | |||
| Total Asset | 96.56 M | |||
| One Year Return | 39.20 % | |||
| Three Year Return | 12.10 % | |||
| Five Year Return | 15.90 % | |||
| Net Asset | 96.56 M | |||
| Last Dividend Paid | 0.099 | |||
| Equity Positions Weight | 99.85 % |
About Fidelity Momentum Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fidelity Momentum Factor's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fidelity Momentum using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fidelity Momentum Factor based on its fundamental data. In general, a quantitative approach, as applied to this etf, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Fidelity Momentum
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 Momentum 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 Momentum will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Etf
| 0.95 | VUG | Vanguard Growth Index | PairCorr |
| 0.95 | IWF | iShares Russell 1000 | PairCorr |
| 0.94 | IVW | iShares SP 500 | PairCorr |
| 0.94 | SPYG | SPDR Portfolio SP | PairCorr |
| 0.95 | IUSG | iShares Core SP | PairCorr |
Moving against Fidelity Etf
The ability to find closely correlated positions to Fidelity Momentum 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 Momentum 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 Momentum - 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 Momentum Factor to buy it.
The correlation of Fidelity Momentum 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 Momentum moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Momentum Factor 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 Momentum 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.Check out Fidelity Momentum Piotroski F Score and Fidelity Momentum Altman Z Score analysis. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
The market value of Fidelity Momentum Factor is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Momentum's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Momentum's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Momentum's market value can be influenced by many factors that don't directly affect Fidelity Momentum's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Momentum's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Momentum is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Momentum's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.