Bank Cost Of Revenue from 2010 to 2024
| BMO Stock | CAD 141.26 1.48 1.04% |
Cost Of Revenue | First Reported 2010-12-31 | Previous Quarter 0.0 | Current Value 0.0 | Quarterly Volatility 2 B |
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 2.5 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 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.
Bank | Cost Of Revenue |
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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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.