| BMO Stock | | | USD 101.05 0.58 0.58% |
This module uses fundamental data of Bank of Montreal to approximate its Piotroski F score. Bank of Montreal F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Bank of Montreal. 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 Bank of Montreal financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out
Bank of Montreal Altman Z Score,
Bank of Montreal Correlation,
Bank of Montreal Valuation, as well as analyze
Bank of Montreal Alpha and Beta and
Bank of Montreal Hype Analysis.
To learn how to invest in Bank Stock, please use our
How to Invest in Bank of Montreal guide.
At this time, Bank of Montreal's
Debt To Equity is very stable compared to the past year. As of the 16th of February 2025,
Interest Debt Per Share is likely to grow to 401.19, while
Long Term Debt Total is likely to drop about 30.2
B. At this time, Bank of Montreal's
Stock Based Compensation To Revenue is very stable compared to the past year. As of the 16th of February 2025,
Capex To Depreciation is likely to grow to 1.00, while
Price To Sales Ratio is likely to drop 2.02.
At this time, it appears that Bank of Montreal's Piotroski F Score is Poor. 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..
4.0
Piotroski F Score - Poor
| Change in Return on Assets | |
| Cash Flow Return on Assets | |
| Current Quality of Earnings (accrual) | |
| Long Term Debt Over Assets Change | Higher Leverage| Focus | |
| Change In Outstending Shares | |
Bank of Montreal Piotroski F Score Drivers
The critical factor to consider when applying the Piotroski F Score to Bank of Montreal is to make sure Bank is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Bank of Montreal'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 Bank of Montreal's financial numbers are properly reported.
Bank of Montreal F Score Driver Matrix
One of the toughest challenges investors face today is learning how to quickly synthesize historical
financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Bank of Montreal's different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Bank of Montreal in a much-optimized way.
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About Bank of Montreal 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.
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.
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.
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.
When determining whether Bank of Montreal
offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Bank of Montreal's
financial statements, including income statements, balance sheets, and cash flow statements, to assess its
financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Bank Of Montreal Stock.
Outlined below are crucial reports that will aid in making a well-informed decision on Bank Of Montreal Stock: Is Diversified Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost
the valuation of Bank of Montreal. If investors know Bank will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Bank of Montreal listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth | Dividend Share | Earnings Share | Revenue Per Share | Quarterly Revenue Growth |
The market value of Bank of Montreal is measured differently than its book value, which is the value of Bank that is recorded on the company's balance sheet. Investors also form their own opinion of Bank of Montreal's value that differs from its market value or its book value, called intrinsic value, which is Bank of Montreal's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Bank of Montreal's market value can be influenced by many factors that don't directly affect Bank of Montreal's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Bank of Montreal's value and its price as these two are different measures arrived at by different means. Investors typically determine
if Bank of Montreal is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Bank of Montreal's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.