| ZLH Etf | | | CAD 34.91 0.15 0.43% |
This module uses fundamental data of BMO Low to approximate its Piotroski F score. BMO Low F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of BMO Low Volatility. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about BMO Low financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. 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, it appears that BMO Low's Piotroski F Score is Inapplicable. Although some professional money managers and academia have recently criticized
Piotroski F-Score model, we still consider it an effective method of
predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
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Piotroski F Score - Inapplicable
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BMO Low Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to BMO Low is to make sure BMO is not a subject of accounting manipulations and runs a healthy internal audit department. So, if BMO Low's auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if BMO Low's financial numbers are properly reported.
About BMO Low Piotroski F Score
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled
Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
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.
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.
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.