Financial forecasting is the process of predicting the future state and value of financial and economic indicators and their changes based on current knowledge and current and past data. There are the following key steps that guide the forecasting process and the creation of financial model:
a/ build and support an assumptions that may come from fundamental analysis of the opportunity, information on comparable companies, or expert judgment.
b/ start with a forecast of revenue as most other aspects of the financial model are related to revenue.
c/ decide whether to develop the forecast in real or nominal terms which means to decide how inflation would be included into forecast.
d/ integrate the financial statements it means through spreadsheet formula to integrate the pro forma balance sheet, income statement end cash flow statement to be able to da/ test sensitivity to formulated assumptions, db/ to do scenario analysis, dc/ to simulate impact of uncertainty on future performance.
e/ determine an appropriate time span for forecast which depends on purpose of the forecast. The forecast used for determining financial needs should cover period long enough at the end of which the venture has its track record based on which is able to attract follow-on financing.
f/ determine an appropriate forecasting interval which depends on planning period of the venture. If we assess the financial needs of the new venture than interval of one year is too long as entrepreneurs must assess their cash needs on more frequent basis. Therefore, monthly period is the most relevant from time and reliability points of view.
g/ assess the assumptions of the model across the financial statements. “What if” analysis and stress tests are techniques that are usually used.
- Forecasting the revenue of an established business
There are five simple (naïve) approaches often used for revenue forecasting:
- Forecasting based on the historical nominal growth rate of sales. This approach takes into consideration extrapolation based on the last period sales level which is multiplied by the average historical growth rate of sales (e.g. calculated based on the last five years nominal growth rate of sales).
- Forecasting based on the historical real growth rate of sales. This approach is also based on extrapolation but taking into consideration real growth rate of sales which means its each year inflation- adjustment (annual sales growth rate minus inflation rate).
- Weighting the historical growth rates of sales. This method is based on weighting of historical data so that more recent annual growth rate of sales is multiplied by the greater weight. Average weighted growth rate of sales is calculated as an average of each year weighted growth rates. The logic behind is that the future will probably be more like the recent past than the more distant path.
- Exponential smoothing is an alternative weighting scheme that brings more accurate results the previous methods when historical data are limited.
- Forecasting based on fundamentals takes into consideration influence of macroeconomic development on sales growth. One way how to get forecasted real growth rate of sales is based on historical data of real GDP growth and real sales growth to estimate relationship (ratio) between GDP real growth and real sales growth and multiply this ratio by expected real growth rate of GDP in forecasted year.
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- Forecasting revenue of a new venture
Forecasting of revenue for a venture with no previous historical data where are many uncertainties like product is doesn´t exist and customers are not known, behaviour of competitors is unknown etc. is much more difficult than for established companies.
There are two approaches used for this forecasting:
a/ Yardsticks
b/ Fundamental analysis
a/ Yardsticks
If for some new ventures exists reasonable comparable yardsticks companies than their public or non-public data are used for forecasting. Comparable dimensions important for forecasting are:
. product/customer attributes,
. distribution channels,
. manufacturing technology etc.
Data sources are publicly disclosed reports, IPO prospectus, mainly for newly public ventures and other data sources which depends on concrete countries/regions.
All these data sources usually contain historical data needed for forecasting . Then techniques used for forecasting are the same as for established businesses described above.
b/ Fundamental analysis
There are different approaches to fundamental analysis.
- For simple new venture like opening coffee shops empirical data gathering through talking to customers, observations of traffic, prices etc. is sufficient.
- For innovative new ventures analysis must be more complex and should start with estimation of the size of the relevant market. Then demand and supply approaches are applied.
- Demand – side approach assess consumer willingness and ability to buy the product assuming that new venture has sufficient capacity to produce it. It should take into consideration such factors as geographic market which should be served, estimation of number of customer in this market, growth rate of this market, quantity of purchase of a typical customer during a forecast period, expected average price. Based on these inputs sales growth rate is forecasted.
- Supply-side approach seeks to determine how fast the venture can growth taking into consideration resources constraints ( access to raw material, financial, human, managerial etc.). This means even if demand grows rapidly sales growth rate of the venture is limited by supply side.
- Combination of demand – supply sides means to choose expected sales growth rate which is lower.
- Integrated financial modelling
Goal of the of integrated financial modelling is to create set of integrated financial statements that capture interactions between pro forma statements, reflect assumption changes across all statements and add time dimension to accommodate growth.
Pro forma statement is financial statement (income statement, balance sheet, cash flow)the items of which are projected values based on a specific forecasting method and a certain set of assumptions.
The pro forma analysis is one of the most common and practical ways to predict the feasibility and worth of a firm in the near future. It is useful for established companies but especially for new venture.
For start up majority of variables for the pro forma statements have to be estimated. When company pass through the first year of production and sales in the real market, then actual figures can be used for pro forma statements forecasting.
Key steps of the integrated financial modelling:
- Starting point for integrated financial modelling is forecasting revenue which we have discussed above and is a basis for pro forma balance sheet, income statement and cash flow.
- Cash conversion cycle presents flow the venture´s operations and describes the relationships between cash flow and income statement and balance sheet accounts.
- Working capital, growth and financing needs projection. The most important components of gross working capital (which is also name for current assets) are inventory, accounts receivable and cash. Additional key item for net working capital (= current assets – current liabilities) are accounts payable. There are three major financing strategies for working capital:
- Aggressive approach means the company would match the permanent financial need to the long-term debt and match the temporary capital to the short-term borrowing, where each financing would be taken at its own market cost of capital.
- In the conservative approach company would drop the short-term financing altogether, and rely on the long-term debt to finance almost all of its capital needs.
- In the balanced approach the company would compromise the previous two approaches.