Bmo Low Volatility Etf Beneish M Score

ZLB Etf  CAD 48.43  0.01  0.02%   
This module uses fundamental data of BMO Low to approximate the value of its Beneish M Score. BMO Low M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in BMO Low Volatility. 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.
  
At this time, BMO Low's M Score is inapplicable. The earnings manipulation may begin if BMO Low's top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by BMO Low executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of BMO Low's earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-4.84
Beneish M Score - Inapplicable
Elasticity of Receivables

N/A

Focus
Asset Quality

N/A

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Expense Coverage

N/A

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Gross Margin Strengs

N/A

Focus
Accruals Factor

N/A

Focus
Depreciation Resistance

N/A

Focus
Net Sales Growth

N/A

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Financial Leverage Condition

N/A

Focus

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About BMO Low Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze BMO Low Volatility's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of BMO Low using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of BMO Low Volatility 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 Low

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 Low 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 Low will appreciate offsetting losses from the drop in the long position's value.

Moving together with BMO Etf

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The ability to find closely correlated positions to BMO Low 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 Low 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 Low - 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 Low Volatility to buy it.
The correlation of BMO Low 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 Low moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if BMO Low Volatility 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 Low 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in BMO Etf

BMO Low 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 Low security.