Bank Of Montreal Stock Z Score
| BMO Stock | CAD 143.32 0.48 0.34% |
Bank | Z Score |
Bank of Montreal Company Z Score Analysis
Bank of Montreal's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
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Bank Z Score Driver Correlations
Understanding the fundamental principles of building solid financial models for Bank of Montreal is extremely important. It helps to project a fair market value of Bank Stock properly, considering its historical fundamentals such as Z Score. Since Bank of Montreal's main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Bank of Montreal's historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Bank of Montreal's interrelated accounts and indicators.
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To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
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In accordance with the company's disclosures, Bank of Montreal has a Z Score of 0.0. This is 100.0% lower than that of the Banks sector and about the same as Financials (which currently averages 0.0) industry. The z score for all Canada stocks is 100.0% higher than that of the company.
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Bank of Montreal ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Bank of Montreal's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Bank of Montreal's managers, analysts, and investors.Environment Score | Governance Score | Social Score |
Bank Fundamentals
| Return On Equity | 0.0849 | ||||
| Return On Asset | 0.005 | ||||
| Profit Margin | 0.21 % | ||||
| Operating Margin | 0.37 % | ||||
| Current Valuation | (76.9 B) | ||||
| Shares Outstanding | 729.87 M | ||||
| Shares Owned By Insiders | 0.02 % | ||||
| Shares Owned By Institutions | 53.39 % | ||||
| Number Of Shares Shorted | 15.59 M | ||||
| Price To Earning | 12.58 X | ||||
| Price To Book | 1.27 X | ||||
| Price To Sales | 3.33 X | ||||
| Revenue | 29.02 B | ||||
| Gross Profit | 31.41 B | ||||
| EBITDA | 7.71 B | ||||
| Net Income | 4.37 B | ||||
| Cash And Equivalents | 331.58 B | ||||
| Cash Per Share | 515.83 X | ||||
| Total Debt | 248.74 B | ||||
| Debt To Equity | 0.10 % | ||||
| Book Value Per Share | 105.41 X | ||||
| Cash Flow From Operations | 9.59 B | ||||
| Short Ratio | 3.99 X | ||||
| Earnings Per Share | 9.52 X | ||||
| Price To Earnings To Growth | 1.39 X | ||||
| Target Price | 145.37 | ||||
| Number Of Employees | 55.77 K | ||||
| Beta | 1.16 | ||||
| Market Capitalization | 104.6 B | ||||
| Total Asset | 1.29 T | ||||
| Retained Earnings | 44.92 B | ||||
| Annual Yield | 0.05 % | ||||
| Five Year Return | 4.10 % | ||||
| Net Asset | 1.29 T |
About Bank of Montreal Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Bank of Montreal's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Bank of Montreal using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Bank of Montreal based on its fundamental data. In general, a quantitative approach, as applied to this company, 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 Bank of Montreal
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 Bank of Montreal 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 Bank of Montreal will appreciate offsetting losses from the drop in the long position's value.Moving together with Bank Stock
Moving against Bank Stock
The ability to find closely correlated positions to Bank of Montreal could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bank of Montreal 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 Bank of Montreal - 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 Bank of Montreal to buy it.
The correlation of Bank of Montreal 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 Bank of Montreal moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bank of Montreal 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 Bank of Montreal 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Bank of Montreal. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.