Forecasting is a technique that uses historical data as inputs to make informed estimates that are predictive in determining the direction of future trends. Businesses utilize forecasting to determine how to allocate their budgets or plan for anticipated expenses for an upcoming period of time. This is typically based on the projected demand for the goods and services offered.
Stock analysts use various forecasting methods to determine how a stock’s price will move in the future. They might look at revenue and compare it to economic indicators. Changes to financial or statistical data are observed to determine the relationship between multiple variables. These relationships may be based on the passage of time or the occurrence of specific events. For example, a sales forecast may be based upon a specific period (the passage of the next 12 months) or the occurrence of an event (the purchase of a competitor’s business).
Stages of Forecasting
Forecasting addresses a problem or set of data. Economists make assumptions regarding the situation being analyzed must be established before the variables of the forecasting are determined. Based on the items determined, an appropriate data set is selected and used in the manipulation of information. The data is analyzed, and the forecast is determined. Finally, a verification period occurs where the forecast is compared to the actual results in order to establish a more accurate model for forecasting in the future.
Qualitative forecasting models are useful in developing forecasts with a limited scope. These models are highly reliant on expert opinions and are most beneficial in the short term. Examples of qualitative forecasting models include market research, polls and surveys that apply the Delphi method. Quantitative methods of forecasting exclude expert opinions and utilize statistical data based on quantitative information. Quantitative forecasting models include time series methods, discounting, analysis of leading or lagging indicators and econometric modeling.