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Showing papers on "Cash flow forecasting published in 1973"


Journal ArticleDOI
TL;DR: In this article, the authors present a model for solving a central problem of short-term financial management (cash planning and credit-line determination) that is embedded in a financial statement simulator, using priority rankings in specifying the order in which assets and liabilities are used to change cash balances.
Abstract: This paper has presented a model for solving a central problem of short-term financial management — cash planning and credit-line determination. The core of the model is an algorithmic procedure for finding the best cash plan and the associated credit line for a given operating plan and long-term financial plan. Since the model requires a computation of cash balances, it must be embedded in a financial statement simulator.The two keys to the model are:1. the use of priority rankings in specifying the order in which assets and liabilities are used to change cash balances;2. the separation of solution constraints into two classes—consistency conditions given by C1, C2, and C3 and feasibility conditions stated in C4, C5, and C6. The latter conditions require changes in the long-term plan (or the operating plan) to obtain feasibility of the short-term plan.The use of priority rankings and the separation of solution constraints into these two classes makes possible the formulation of an algorithmic procedure that is computationally efficient and that avoids having to solve a mathematical programming problem.The benefits of the model are: (1) saved time; (2) increased accuracy in cash planning; (3) quick determination of infeasibility with respect to the short-term plan. For a firm already using financial statement simulation, the model is sufficiently easy to program and implement so that saved user time and system expense alone easily justify the cost of developing the system. Finally, a system that automatically handles short-term cash planning is critical for other areas of short-term planning, for meaningful sensitivity analysis, and for long-term financial planning for firms (such as General Recreation) for which a substantial part of the total financing is provided by either credit-line borrowing or commercial paper issuance.Because of the similarity of both banking and financial practice across firms and banks, the basic approach used in this model is applicable to most nonfinancial corporations.

16 citations


Journal ArticleDOI
TL;DR: In this paper, the authors introduce the concept of depreciation as an explicit variable in a regulatory model, where the goal of the firm is to maximize the discounted cash flow while satisfying the regulatory control, and the solution of the model indicates that the firm should allocate depreciation in each period so that it will be an increasing function of time.
Abstract: This study introduces depreciation as an explicit variable in a regulatory model. The goal of the firm is assumed to be maximization of discounted cash flow. For simplicity it is assumed that the firm is required to use the same type of depreciation for book and tax purposes. It is shown that under the assumptions of the model, rate-base regulation strongly affects the type of depreciation which the firm would consider optimal. More specifically, the solution of the model indicates that in order to maximize the discounted cash flow while satisfying the regulatory control, the firm should allocate depreciation in each period so that it will be an increasing function of time. As a result, undiscounted cash flow will increase through the time horizon.

11 citations




Journal ArticleDOI
TL;DR: The rapid increase of real estate debt and non-real estate debt outstanding in the farm sector at the national level is well documented as mentioned in this paper, due to rapid consolidation of land ownership, continuing adoption of capital intensive technology, greater off-farm purchases of operating inputs, increases in land values, and other such factors.
Abstract: The rapid increase of real estate debt and nonreal estate debt outstanding in the farm sector at the national level is well documented [eg, 2, 4, 6] Reasons for these increases include the rapid consolidation of land ownership, continuing adoption of capital intensive technology, greater off-farm purchases of operating inputs, increases in land values, and other such factors On the one hand the ability of the farm sector to attract this debt is encouraging Yet, serious questions arise concerning agriculture's liquidity position, repayment capacity, and the actual performance of its finance market Much of the increased debt came from land sellers, other individuals, and merchants and dealers None of these are specialized lenders

2 citations