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DP 2007 03 Piece wise Linear Accrual Models: do they really control for the asymmetric recognition of gains and losses? Jo's A. C. Moreira Peter F. Pope March 2007 CETE CENTR de Estudos de Economia
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Piecewise linear accrual models are mathematical models used to estimate revenue recognition over time, taking into account different patterns of revenue realization.
The requirement to file piecewise linear accrual models may vary depending on the specific regulations and reporting guidelines of the jurisdiction. However, businesses that use piecewise linear accrual models for revenue recognition purposes may be required to submit them as part of their financial reporting.
To fill out piecewise linear accrual models, businesses need to gather relevant financial data, such as revenue streams, timing of receipts, and associated costs. This information is then used to create a mathematical representation of revenue recognition patterns over time, which is input into the model.
The purpose of piecewise linear accrual models is to provide a more accurate estimation of revenue recognition over time. By considering different patterns of revenue realization, these models can help businesses make informed financial decisions and comply with accounting standards.
The specific information that needs to be reported on piecewise linear accrual models may vary depending on the jurisdiction and reporting requirements. However, typically, these models require inputs such as revenue streams, timing of receipts, associated costs, and other relevant financial data.
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