Bank Of Montreal Etf Z Score

CARU Etf   30.01  0.47  1.59%   
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out Bank of Montreal Piotroski F Score and Portfolio Optimization analysis.
For more information on how to buy Bank Etf please use our How to Invest in Bank of Montreal guide.
  

Bank of Montreal ETF 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..

Z Score

 = 

Sum Of

5 Factors

More About Z Score | All Equity Analysis

First Factor

 = 

1.2 * (

Working Capital

/

Total Assets )

Second Factor

 = 

1.4 * (

Retained Earnings

/

Total Assets )

Thrid Factor

 = 

3.3 * (

EBITAD

/

Total Assets )

Fouth Factor

 = 

0.6 * (

Market Value of Equity

/

Total Liabilities )

Fifth Factor

 = 

0.99 * (

Revenue

/

Total Assets )

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.
Competition
In accordance with the company's disclosures, Bank of Montreal has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) family and about the same as Trading--Leveraged Equity (which currently averages 0.0) category. This indicator is about the same for all United States etfs average (which is currently at 0.0).

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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 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.

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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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 Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Bank Of Montreal Etf:
Check out Bank of Montreal Piotroski F Score and Portfolio Optimization analysis.
For more information on how to buy Bank Etf please use our How to Invest in Bank of Montreal guide.
You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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.