Prairie Payables Turnover from 2010 to 2026
| PPR Stock | CAD 0.75 0.15 25.00% |
Payables Turnover | First Reported 2010-12-31 | Previous Quarter 1.51 | Current Value 1.97 | Quarterly Volatility 1.31196729 |
Check Prairie Provident financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Prairie Provident's main balance sheet or income statement drivers, such as Depreciation And Amortization of 10.2 M, Interest Expense of 18.5 M or Selling General Administrative of 6.9 M, as well as many indicators such as Price To Sales Ratio of 1.85, Dividend Yield of 0.0133 or Days Sales Outstanding of 60.56. Prairie financial statements analysis is a perfect complement when working with Prairie Provident Valuation or Volatility modules.
Prairie | Payables Turnover |
Latest Prairie Provident's Payables Turnover Growth Pattern
Below is the plot of the Payables Turnover of Prairie Provident Resources 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. Prairie Provident's Payables Turnover historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Prairie Provident's overall financial position and show how it may be relating to other accounts over time.
| Payables Turnover | 10 Years Trend |
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Payables Turnover |
| Timeline |
Prairie Payables Turnover Regression Statistics
| Arithmetic Mean | 2.68 | |
| Geometric Mean | 2.26 | |
| Coefficient Of Variation | 49.03 | |
| Mean Deviation | 1.01 | |
| Median | 2.49 | |
| Standard Deviation | 1.31 | |
| Sample Variance | 1.72 | |
| Range | 5.1535 | |
| R-Value | 0.05 | |
| Mean Square Error | 1.83 | |
| R-Squared | 0 | |
| Significance | 0.86 | |
| Slope | 0.01 | |
| Total Sum of Squares | 27.54 |
Prairie Payables Turnover History
About Prairie Provident Financial Statements
Prairie Provident investors utilize fundamental indicators, such as Payables Turnover, to predict how Prairie 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 | 1.51 | 1.97 |
Pair Trading with Prairie Provident
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 Prairie Provident 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 Prairie Provident will appreciate offsetting losses from the drop in the long position's value.Moving against Prairie Stock
The ability to find closely correlated positions to Prairie Provident could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Prairie Provident 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 Prairie Provident - 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 Prairie Provident Resources to buy it.
The correlation of Prairie Provident 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 Prairie Provident moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Prairie Provident 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 Prairie Provident 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 Prairie Stock
Prairie Provident financial ratios help investors to determine whether Prairie 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 Prairie with respect to the benefits of owning Prairie Provident security.