Bank Asset Turnover from 2010 to 2026
| BK Stock | CAD 14.38 0.13 0.90% |
Asset Turnover | First Reported 2010-12-31 | Previous Quarter 0.22 | Current Value 0.23 | Quarterly Volatility 0.11305391 |
Check Bank of New York financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Bank of New York's main balance sheet or income statement drivers, such as Total Revenue of 232 M, Gross Profit of 225.6 M or Other Operating Expenses of 5.6 M, as well as many indicators such as Price To Sales Ratio of 3.12, Dividend Yield of 0.096 or PTB Ratio of 0.76. Bank financial statements analysis is a perfect complement when working with Bank of New York Valuation or Volatility modules.
Bank | Asset Turnover |
Evaluating Bank of New York's Asset Turnover 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 Canadian Banc Corp's fundamental strength.
Latest Bank of New York's Asset Turnover Growth Pattern
Below is the plot of the Asset Turnover of Canadian Banc Corp over the last few years. It is the ratio of net sales to average total assets, indicating how efficiently a company uses its assets to generate sales. Bank of New York's Asset Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Bank of New York's overall financial position and show how it may be relating to other accounts over time.
| Asset Turnover | 10 Years Trend |
|
Asset Turnover |
| Timeline |
Bank Asset Turnover Regression Statistics
| Arithmetic Mean | 0.12 | |
| Geometric Mean | 0.09 | |
| Coefficient Of Variation | 97.46 | |
| Mean Deviation | 0.1 | |
| Median | 0.15 | |
| Standard Deviation | 0.11 | |
| Sample Variance | 0.01 | |
| Range | 0.3329 | |
| R-Value | 0.36 | |
| Mean Square Error | 0.01 | |
| R-Squared | 0.13 | |
| Significance | 0.16 | |
| Slope | 0.01 | |
| Total Sum of Squares | 0.20 |
Bank Asset Turnover History
About Bank of New York Financial Statements
Bank of New York investors utilize fundamental indicators, such as Asset Turnover, 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 | ||
| Asset Turnover | 0.22 | 0.23 |
Pair Trading with Bank of New York
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 New York 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 New York will appreciate offsetting losses from the drop in the long position's value.Moving against Bank Stock
The ability to find closely correlated positions to Bank of New York 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 New York 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 New York - 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 Canadian Banc Corp to buy it.
The correlation of Bank of New York 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 New York moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Canadian Banc Corp 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 New York 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.Other Information on Investing in Bank Stock
Bank of New York financial ratios help investors to determine whether Bank Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Bank with respect to the benefits of owning Bank of New York security.