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Working Capital Management




                    Notes          Another uncertain variable is the timing of payments for new construction. The weather pays a
                                   significant part in the rate of progress of construction. It is possible that the weather may be
                                   good and that the firm’s construction company may progress ahead of schedule; instead  of
                                   ` 54,000 being due in August. October, and December, this could result in ` 81,000 being due in
                                   August and October and nothing due in December. The results are presented in Table 8.2. Other
                                   variations in the timing of construction payments could also be investigated.
                                   This kind of analysis provides very useful information about the amounts of possible surpluses
                                   and deficits in various future periods. With regard to the construction payments example, the
                                   expected amounts  of surpluses  and borrowings  in the beginning and  ending  months  are
                                   unaffected, but the pattern from September to November is significantly altered. The maximum
                                   amount of the firm’s necessary borrowings is now ` 59,100, not ` 32,100 in the original calculation.
                                   If there is a significant chance that this speedup of construction may occur, the firm should make
                                   far different financing arrangements than were originally anticipated.

                                                      Table 8.2:  Sensitivity Analysis  of Cash  Forecast:
                                                      New  Construction  Payment  Accelerates (in  `)






































                                   Simulation Analysis of the Cash Forecast

                                   While sensitivity analysis methodologies give  useful information, it is  generally the  overall
                                   variation from the means of the monthly cash deficits and surpluses that concerns management
                                   for planning purposes. This information on the probability distributions of cash surpluses and
                                   deficits is necessary to plan advantageous strategies. To estimate these probability distributions,
                                   a simulation of the overall uncertainty in the ending cash balances for cash of the period within
                                   the forecast is needed. To get these, the methods of simulation analysis are used. First, probability
                                   distributions for each of the  major uncertain variables are developed. For cash forecast, the
                                   variables involved would include sales, collection rates, production costs, and capital expenditures.
                                   Statistical estimation procedures or management estimates could be used; discrete or continuous



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