Fidelity High Dividend Etf Beta
FCUD Etf | CAD 38.51 0.15 0.39% |
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 Beta Analysis
Fidelity High's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current Fidelity High Beta | 0.74 |
Most of Fidelity High's fundamental indicators, such as Beta, 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.
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
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In accordance with the recently published financial statements, Fidelity High Dividend has a Beta of 0.74. 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 beta for all Canada etfs is notably lower than that of the firm.
Fidelity Beta 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 Beta 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 beta as compared to similar ETFs.
Fund Asset Allocation for Fidelity High
The fund invests 99.87% of asset under management in tradable equity instruments, with the rest of investments concentrated in various types of exotic instruments.Asset allocation divides Fidelity High'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.
As returns on the market increase, Fidelity High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity High is expected to be smaller as well.
Fidelity Fundamentals
Beta | 0.74 | |||
Total Asset | 116.26 M | |||
One Year Return | 29.10 % | |||
Three Year Return | 12.40 % | |||
Five Year Return | 11.80 % | |||
Net Asset | 116.26 M | |||
Last Dividend Paid | 0.0471 | |||
Equity Positions Weight | 99.87 % |
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
0.94 | VGG | Vanguard Dividend | PairCorr |
0.96 | ZDY | BMO Dividend ETF | PairCorr |
0.98 | ZWH | BMO High Dividend | PairCorr |
0.87 | 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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.