Bank Price To Operating Cash Flows Ratio from 2010 to 2024

BMO Stock  USD 96.84  0.14  0.14%   
Bank of Montreal Price To Operating Cash Flows Ratio yearly trend continues to be very stable with very little volatility. Price To Operating Cash Flows Ratio is likely to grow to 5.05 this year. During the period from 2010 to 2024, Bank of Montreal Price To Operating Cash Flows Ratio quarterly data regression pattern had sample variance of  274.06 and median of  3.83. View All Fundamentals
 
Price To Operating Cash Flows Ratio  
First Reported
2010-12-31
Previous Quarter
3.18068885
Current Value
5.05
Quarterly Volatility
16.55469232
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Bank of Montreal financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bank of Montreal's main balance sheet or income statement drivers, such as Depreciation And Amortization of 2.2 B, Interest Expense of 0.0 or Selling General Administrative of 37.8 B, as well as many indicators such as Price To Sales Ratio of 2.02, Dividend Yield of 0.0442 or PTB Ratio of 1.62. Bank financial statements analysis is a perfect complement when working with Bank of Montreal Valuation or Volatility modules.
  
Check out the analysis of Bank of Montreal Correlation against competitors.
To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.

Latest Bank of Montreal's Price To Operating Cash Flows Ratio Growth Pattern

Below is the plot of the Price To Operating Cash Flows Ratio of Bank of Montreal over the last few years. It is Bank of Montreal's Price To Operating Cash Flows Ratio historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bank of Montreal's overall financial position and show how it may be relating to other accounts over time.
Price To Operating Cash Flows Ratio10 Years Trend
Pretty Stable
   Price To Operating Cash Flows Ratio   
       Timeline  

Bank Price To Operating Cash Flows Ratio Regression Statistics

Arithmetic Mean6.82
Geometric Mean6.97
Coefficient Of Variation242.83
Mean Deviation11.05
Median3.83
Standard Deviation16.55
Sample Variance274.06
Range69.9608
R-Value(0.18)
Mean Square Error285.90
R-Squared0.03
Significance0.53
Slope(0.65)
Total Sum of Squares3,837

Bank Price To Operating Cash Flows Ratio History

2024 5.05
2023 3.18
2022 7.75
2021 16.81
2020 1.99
2019 1.0
2018 2.13

About Bank of Montreal Financial Statements

Bank of Montreal investors utilize fundamental indicators, such as Price To Operating Cash Flows Ratio, to predict how Bank Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Price To Operating Cash Flows Ratio 3.18  5.05 

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

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Moving against Bank Stock

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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.
Pair CorrelationCorrelation Matching
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:
Check out the analysis of Bank of Montreal Correlation against competitors.
To learn how to invest in Bank Stock, please use our How to Invest in Bank of Montreal guide.
You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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
0.17
Earnings Share
6.61
Revenue Per Share
43.316
Quarterly Revenue Growth
(0.04)
Return On Assets
0.005
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.