Exchange Net Receivables from 2010 to 2026
| EIF Stock | CAD 95.00 1.07 1.11% |
Net Receivables | First Reported 2003-03-31 | Previous Quarter 676.7 M | Current Value 784.4 M | Quarterly Volatility 206.3 M |
Check Exchange Income financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Exchange Income's main balance sheet or income statement drivers, such as Depreciation And Amortization of 374.8 M, Interest Expense of 166.5 M or Selling General Administrative of 410.7 M, as well as many indicators such as Price To Sales Ratio of 0.66, Dividend Yield of 0.0848 or PTB Ratio of 1.38. Exchange financial statements analysis is a perfect complement when working with Exchange Income Valuation or Volatility modules.
Exchange | Net Receivables |
Evaluating Exchange Income's Net Receivables 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 Exchange Income's fundamental strength.
Latest Exchange Income's Net Receivables Growth Pattern
Below is the plot of the Net Receivables of Exchange Income over the last few years. It is Exchange Income's Net Receivables historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Exchange Income's overall financial position and show how it may be relating to other accounts over time.
| Net Receivables | 10 Years Trend |
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Net Receivables |
| Timeline |
Exchange Net Receivables Regression Statistics
| Arithmetic Mean | 339,760,139 | |
| Geometric Mean | 132,961,712 | |
| Coefficient Of Variation | 71.46 | |
| Mean Deviation | 190,078,854 | |
| Median | 285,257,000 | |
| Standard Deviation | 242,780,523 | |
| Sample Variance | 58942.4T | |
| Range | 813.7M | |
| R-Value | 0.89 | |
| Mean Square Error | 12951.6T | |
| R-Squared | 0.79 | |
| Slope | 42,840,442 | |
| Total Sum of Squares | 943078.1T |
Exchange Net Receivables History
About Exchange Income Financial Statements
Exchange Income investors utilize fundamental indicators, such as Net Receivables, to predict how Exchange 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 | ||
| Net Receivables | 774.9 M | 813.7 M |
Pair Trading with Exchange Income
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 Exchange Income 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 Exchange Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Exchange Stock
Moving against Exchange Stock
| 0.75 | AAPL | Apple CDR | PairCorr |
| 0.75 | AAPL | Apple Inc CDR | PairCorr |
| 0.74 | MSFT | Microsoft CDR | PairCorr |
| 0.74 | MSFT | Microsoft Corp CDR | PairCorr |
The ability to find closely correlated positions to Exchange Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exchange Income 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 Exchange Income - 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 Exchange Income to buy it.
The correlation of Exchange Income 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 Exchange Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Exchange Income 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 Exchange Income 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 Exchange Stock
Exchange Income financial ratios help investors to determine whether Exchange 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 Exchange with respect to the benefits of owning Exchange Income security.