Fidelity High Dividend Etf Net Asset
| FCUH Etf | CAD 33.30 0.40 1.22% |
Fidelity High Dividend fundamentals help investors to digest information that contributes to Fidelity High'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 High'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 High etf.
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Fidelity High Dividend ETF Net Asset Analysis
Fidelity High's Net Asset is the current market value of a fund less its liabilities. In a nutshell, if the fund is liquidated or all of the assets is sold out, the net asset will be the amount that the shareholders would demand back from the fund.
Current Fidelity High Net Asset | 25.17 M |
Most of Fidelity High's fundamental indicators, such as Net Asset, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Fidelity High Dividend is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Net Asset is the value used in calculating NAV of a fund. NAV (or Net Asset Value) is computed once a day based on the formula that uses closing prices of all positions in the fund's portfolio.
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Based on the recorded statements, Fidelity High Dividend has a Net Asset of 25.17 M. This is much higher than that of the Fidelity Investments Canada ULC family and significantly higher than that of the U.S. Dividend & Income Equity category. The net asset for all Canada etfs is notably lower than that of the firm.
Fidelity Net Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Fidelity High's direct or indirect competition against its Net Asset to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of Fidelity High could also be used in its relative valuation, which is a method of valuing Fidelity High by comparing valuation metrics of similar companies.Fidelity High is currently under evaluation in net asset as compared to similar ETFs.
Fidelity Fundamentals
| Beta | 0.96 | |||
| Total Asset | 25.17 M | |||
| One Year Return | 25.00 % | |||
| Three Year Return | 7.80 % | |||
| Five Year Return | 9.40 % | |||
| Net Asset | 25.17 M | |||
| Last Dividend Paid | 0.0543 |
About Fidelity High Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Fidelity High Dividend's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Fidelity High using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Fidelity High Dividend 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 High
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 High 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 High will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Etf
| 0.76 | CUD | iShares Dividend Growers | PairCorr |
| 0.61 | ZDY | BMO Dividend ETF | PairCorr |
| 0.71 | ZWH | BMO High Dividend | PairCorr |
| 0.73 | VGH | Vanguard Dividend | PairCorr |
The ability to find closely correlated positions to Fidelity High 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 High 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 High - 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 High Dividend to buy it.
The correlation of Fidelity High 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 High moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity High Dividend 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 High 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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Fidelity High Dividend. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.