Bank Operating Cycle from 2010 to 2026
| BMO Stock | USD 141.26 2.81 2.03% |
Operating Cycle | First Reported 2010-12-31 | Previous Quarter 291 | Current Value 219.19 | Quarterly Volatility 62.68873595 |
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 2.6 B, Interest Expense of 0.0 or Selling General Administrative of 39.7 B, as well as many indicators such as Price To Sales Ratio of 1.94, 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.
Bank | Operating Cycle | Build AI portfolio with Bank Stock |
Evaluating Bank of Montreal's Operating Cycle across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Bank of Montreal's fundamental strength.
Latest Bank of Montreal's Operating Cycle Growth Pattern
Below is the plot of the Operating Cycle of Bank of Montreal over the last few years. It is Bank of Montreal's Operating Cycle 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.
| Operating Cycle | 10 Years Trend |
|
Operating Cycle |
| Timeline |
Bank Operating Cycle Regression Statistics
| Arithmetic Mean | 177.77 | |
| Geometric Mean | 166.87 | |
| Coefficient Of Variation | 35.26 | |
| Mean Deviation | 50.43 | |
| Median | 169.25 | |
| Standard Deviation | 62.69 | |
| Sample Variance | 3,930 | |
| Range | 205 | |
| R-Value | (0) | |
| Mean Square Error | 4,192 | |
| R-Squared | 0.000011 | |
| Significance | 0.99 | |
| Slope | (0.04) | |
| Total Sum of Squares | 62,878 |
Bank Operating Cycle History
About Bank of Montreal Financial Statements
Bank of Montreal investors utilize fundamental indicators, such as Operating Cycle, 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 Reported | Projected for Next Year | ||
| Operating Cycle | 291.00 | 219.19 |
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 against Bank Stock
| 0.75 | NTNX | Nutanix | PairCorr |
| 0.69 | MSFT | Microsoft | PairCorr |
| 0.5 | MMM | 3M Company | PairCorr |
| 0.47 | T | ATT Inc Earnings Call Tomorrow | PairCorr |
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 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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Will Diversified Banks sector continue expanding? Could Bank diversify its offerings? Factors like these will boost the valuation of Bank of Montreal. Projected growth potential of Bank fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Bank of Montreal data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.011 | Dividend Share 6.44 | Earnings Share 8.39 | Revenue Per Share | Quarterly Revenue Growth 0.155 |
Bank of Montreal's market price often diverges from its book value, the accounting figure shown on Bank's balance sheet. Smart investors calculate Bank of Montreal's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Bank of Montreal's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Bank of Montreal's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Bank of Montreal should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. 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.