Brookfield Payables Turnover from 2010 to 2026
| BAM Stock | 75.09 0.59 0.79% |
Payables Turnover | First Reported 2010-12-31 | Previous Quarter 1.18 | Current Value 0.89 | Quarterly Volatility 0.17083168 |
Check Brookfield Asset financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Brookfield Asset's main balance sheet or income statement drivers, such as Depreciation And Amortization of 11 M, Selling General Administrative of 289.3 B or Total Revenue of 412.1 M, as well as many indicators such as Price To Sales Ratio of 21.0, Dividend Yield of 0.0257 or PTB Ratio of 13.98. Brookfield financial statements analysis is a perfect complement when working with Brookfield Asset Valuation or Volatility modules.
Brookfield | Payables Turnover |
Latest Brookfield Asset's Payables Turnover Growth Pattern
Below is the plot of the Payables Turnover of Brookfield Asset Management over the last few years. It is a liquidity ratio that shows how quickly a company pays off its suppliers by dividing total purchases by average accounts payable. Brookfield Asset's Payables Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Brookfield Asset's overall financial position and show how it may be relating to other accounts over time.
| Payables Turnover | 10 Years Trend |
|
Payables Turnover |
| Timeline |
Brookfield Payables Turnover Regression Statistics
| Arithmetic Mean | 0.95 | |
| Geometric Mean | 0.93 | |
| Coefficient Of Variation | 18.04 | |
| Mean Deviation | 0.14 | |
| Median | 0.85 | |
| Standard Deviation | 0.17 | |
| Sample Variance | 0.03 | |
| Range | 0.4634 | |
| R-Value | 0.63 | |
| Mean Square Error | 0.02 | |
| R-Squared | 0.39 | |
| Significance | 0.01 | |
| Slope | 0.02 | |
| Total Sum of Squares | 0.47 |
Brookfield Payables Turnover History
About Brookfield Asset Financial Statements
Brookfield Asset investors utilize fundamental indicators, such as Payables Turnover, to predict how Brookfield 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 | ||
| Payables Turnover | 1.18 | 0.89 |
Pair Trading with Brookfield Asset
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 Brookfield Asset 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 Brookfield Asset will appreciate offsetting losses from the drop in the long position's value.Moving together with Brookfield Stock
Moving against Brookfield Stock
The ability to find closely correlated positions to Brookfield Asset could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Brookfield Asset 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 Brookfield Asset - 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 Brookfield Asset Management to buy it.
The correlation of Brookfield Asset 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 Brookfield Asset moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Brookfield Asset Man 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 Brookfield Asset 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 Brookfield Asset Correlation against competitors. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.