Bmo Aggregate Bond Etf Price To Earning
| ZAG Etf | CAD 13.71 0.03 0.22% |
BMO Aggregate Bond fundamentals help investors to digest information that contributes to BMO Aggregate's financial success or failures. It also enables traders to predict the movement of BMO Etf. The fundamental analysis module provides a way to measure BMO Aggregate'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 BMO Aggregate etf.
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BMO Aggregate Bond ETF Price To Earning Analysis
BMO Aggregate'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, BMO Aggregate Bond has a Price To Earning of 0.0 times. This indicator is about the same for the BMO Asset Management Inc average (which is currently at 0.0) family and about the same as Canadian Fixed Income (which currently averages 0.0) category. This indicator is about the same for all Canada etfs average (which is currently at 0.0).
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Fund Asset Allocation for BMO Aggregate
The fund consists of 97.24% investments in fixed income securities, with the rest of funds allocated in various types of exotic instruments.Asset allocation divides BMO Aggregate'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.
BMO Fundamentals
| Beta | 1.05 | |||
| Total Asset | 5.03 B | |||
| Annual Yield | 0.03 % | |||
| One Year Return | 7.70 % | |||
| Three Year Return | (0.30) % | |||
| Five Year Return | 0.20 % | |||
| Ten Year Return | 1.80 % | |||
| Net Asset | 5.03 B | |||
| Last Dividend Paid | 0.04 | |||
| Holdings Turnover | 41.00 % | |||
| Bond Positions Weight | 97.24 % |
About BMO Aggregate Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze BMO Aggregate Bond's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of BMO Aggregate using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of BMO Aggregate Bond 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 BMO Aggregate
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 BMO Aggregate 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 BMO Aggregate will appreciate offsetting losses from the drop in the long position's value.Moving together with BMO Etf
| 0.99 | XBB | iShares Canadian Universe | PairCorr |
| 0.95 | ZCPB | BMO Core Plus | PairCorr |
| 0.99 | ZDB | BMO Discount Bond | PairCorr |
| 0.97 | XGB | iShares Canadian Gov | PairCorr |
Moving against BMO Etf
| 0.35 | ZSP | BMO SP 500 | PairCorr |
| 0.35 | VFV | Vanguard SP 500 | PairCorr |
| 0.32 | XIC | iShares Core SPTSX | PairCorr |
| 0.32 | ZCN | BMO SPTSX Capped | PairCorr |
The ability to find closely correlated positions to BMO Aggregate could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace BMO Aggregate 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 BMO Aggregate - 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 BMO Aggregate Bond to buy it.
The correlation of BMO Aggregate 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 BMO Aggregate moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Aggregate Bond 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 BMO Aggregate 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 BMO Etf
BMO Aggregate financial ratios help investors to determine whether BMO Etf 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 BMO with respect to the benefits of owning BMO Aggregate security.