Ishares Floating Rate Etf Price To Earning
| XFR Etf | CAD 20.02 0.01 0.05% |
iShares Floating Rate fundamentals help investors to digest information that contributes to IShares Floating's financial success or failures. It also enables traders to predict the movement of IShares Etf. The fundamental analysis module provides a way to measure IShares Floating'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 IShares Floating etf.
IShares |
iShares Floating Rate ETF Price To Earning Analysis
IShares Floating's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
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Based on the latest financial disclosure, iShares Floating Rate has a Price To Earning of 0.0 times. This is 100.0% lower than that of the iShares family and about the same as Canadian Short Term Fixed Income (which currently averages 0.0) category. The price to earning for all Canada etfs is 100.0% higher than that of the company.
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Fund Asset Allocation for IShares Floating
The fund invests most of its asset under management in bonds or other fixed income securities. .Asset allocation divides IShares Floating'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.
IShares Fundamentals
| Total Asset | 714 M | |||
| One Year Return | 4.70 % | |||
| Three Year Return | 3.70 % | |||
| Five Year Return | 2.50 % | |||
| Ten Year Return | 1.80 % | |||
| Net Asset | 714 M | |||
| Last Dividend Paid | 0.031 | |||
| Bond Positions Weight | 100.00 % |
About IShares Floating Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze iShares Floating Rate's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of IShares Floating using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of iShares Floating Rate 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 IShares Floating
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 IShares Floating 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 IShares Floating will appreciate offsetting losses from the drop in the long position's value.Moving together with IShares Etf
| 0.76 | XSH | iShares Core Canadian | PairCorr |
| 0.77 | ZCS | BMO Short Corporate | PairCorr |
| 0.99 | ZST | BMO Ultra Short | PairCorr |
Moving against IShares Etf
| 0.95 | HXD | BetaPro SPTSX 60 | PairCorr |
| 0.85 | HIU | BetaPro SP 500 | PairCorr |
| 0.82 | HQD | BetaPro NASDAQ 100 | PairCorr |
| 0.39 | HED | BetaPro SPTSX Capped | PairCorr |
The ability to find closely correlated positions to IShares Floating could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IShares Floating 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 IShares Floating - 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 iShares Floating Rate to buy it.
The correlation of IShares Floating 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 IShares Floating moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if iShares Floating Rate 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 IShares Floating 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 Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in iShares Floating Rate. 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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.