TIS- Dealing with Uncertainty in Budgeting March 2010 The future is uncertain, and there will always be elements of uncertainty that are built into projected financial statements. It is also advisable to ensure that decision makers are aware of these elements of uncertainty when presenting them with financial projections. There are a number of approaches to this issue including: Sensitivity Analysis Expected Values Simulation Rolling Budgets Sensitivity Analysis Sensitivity Analysis entails carrying out calculations with one set of values and then substituting other possible values for the variables to see how the affects the outcome. In the case of budgeting this involves revising the assumptions made in the budget and calculating a revised budget. It may entail the use of worst case and best case assumptions. Illustration A public service plans to deliver 500 units of a service. Fixed costs are estimated to be £20,000 with some certainty, but unit variable cost are expected to be £40 with a best case scenario of £30 and worst case of £50 . Produce projected budgets based on all three assumptions: Answer Variable costs Fixed Costs Worst Case £ 25,000 20,000 Expected Case £ 20,000 20,000 Best Case £ 15,000 20,000 Total Cost 45,000 40,000 35,000 In practice there may be a large number of complex assumptions in a budget, and computer spreadsheets make the alteration of various assumptions much easier. However the spreadsheet needs to be well designed, so that a single alteration in assumptions enables the whole budget to be changed. A large number of spreadsheets can be linked, but since consolidation can be complex , mistakes can be made . Expected Values An expected value is the forecast of the each outcome multiplied by the probability of achieving that outcome to form a weighted average( with the probabilities being used as the weighting). Expected Value = Sum of ( Each outcome x its probability) n.b. The sum of the probabilities must be 1 1 Expected values can be used where probabilities are assigned to various outcomes and a worst/most likely /best possible analysis is conducted. This is illustrated below by building upon the example used in the previous section on Sensitivity Analysis. Illustration A public service plans to deliver 500 units of a service. Fixed costs are estimated to be £20,000 with some certainty, but unit variable cost are expected to be £40 ( probability 0.50) with a best case scenario of £30 (probability 0.20 and worst case of £50( probability 0.3) Calculate the expected value of the costs: Answer Best Case £ Variable costs Fixed Costs Worst Case £ Expected Case £ 25,000 20,000 20,000 20,000 Total Cost Probability Probability x Cost 45,000 0.3 13,500 35,000 0.2 7,000 40,000 0.5 20,000 Expected Value 15,000 20,000 38,500 Simulation This method assumes that all variables associated with a budget are susceptible to change, and assigns probabilities to each variable in turn. Then using random numbers and a computer, multiple possible scenarios are generated. Rolling Budgets A rolling budget is one that is continuously updated by adding a further accounting period (month or quarter) when the earliest accounting period has expired. Rolling Budgets are therefore useful in dealing with volatile situations where is it is difficult to produce a detailed budget for the whole year. In some organisations this may entail the annual budget being divided into two parts: 1) A short period e.g. 3 months for which detailed budgets are prepared for control purposes 2) The balance of the budgets for the year are in outline only. 3) At the end of the control period, the whole of the budget is reviewed and a new control budget set for the next short period and a new outline budget for the whole of the next year is created. This must tie up with overall organisation targets and strategies The use of Rolling Budgets means that managers always have a full years budget available and the rolling process forces them to continuously think ahead. Rolling budgets are used quite widely in the private sector. However they are less widely used in the public sector, due to the need to get political approval of detailed budgets on an annual basis. 2