Bmo Clean Energy Etf Return On Asset
| ZCLN Etf | CAD 13.12 0.13 0.98% |
BMO Clean Energy fundamentals help investors to digest information that contributes to BMO Clean'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 Clean'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 Clean etf.
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BMO Clean Energy ETF Return On Asset Analysis
BMO Clean's Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
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Based on the latest financial disclosure, BMO Clean Energy has a Return On Asset of 0.0. 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 Global Small/Mid Cap Equity (which currently averages 0.0) category. This indicator is about the same for all Canada etfs average (which is currently at 0.0).
BMO Return On Asset Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses BMO Clean's direct or indirect competition against its Return On Asset to detect undervalued stocks with similar characteristics or determine the etfs which would be a good addition to a portfolio. Peer analysis of BMO Clean could also be used in its relative valuation, which is a method of valuing BMO Clean by comparing valuation metrics of similar companies.BMO Clean is currently under evaluation in return on asset as compared to similar ETFs.
Fund Asset Allocation for BMO Clean
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 BMO Clean'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 | 1.02 | |||
| Total Asset | 80.01 M | |||
| One Year Return | (11.60) % | |||
| Three Year Return | (14.20) % | |||
| Net Asset | 80.01 M | |||
| Equity Positions Weight | 99.85 % |
About BMO Clean Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze BMO Clean Energy's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of BMO Clean using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of BMO Clean Energy 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 Clean
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 Clean 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 Clean will appreciate offsetting losses from the drop in the long position's value.Moving together with BMO Etf
Moving against BMO Etf
| 0.92 | ZSP | BMO SP 500 | PairCorr |
| 0.92 | VFV | Vanguard SP 500 | PairCorr |
| 0.91 | XIU | iShares SPTSX 60 | PairCorr |
| 0.9 | XIC | iShares Core SPTSX | PairCorr |
| 0.9 | ZCN | BMO SPTSX Capped | PairCorr |
The ability to find closely correlated positions to BMO Clean 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 Clean 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 Clean - 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 Clean Energy to buy it.
The correlation of BMO Clean 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 Clean moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Clean Energy 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 Clean 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 Clean 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 Clean security.