Quantitative method for predicting hotel capital demand

The quantitative method of hotel's capital demand forecast is 1. Accurately predict objects and targets. First, the financial forecast should be clear about the forecast objects and objectives, and then the scope and time of the forecast can be determined according to the forecast objectives, contents and requirements. 2. Make a forecast plan. The forecast plan includes the organization and leadership of the forecast work, personnel arrangement, work progress, budget, etc. 3. Collect information. Data collection is the basis of forecasting. The company should make clear the contents, methods and ways of collecting data according to the forecast object and purpose, and then collect it. Check the reliability, integrity and typicality of the collected data, analyze its availability and the impact of accidental events, so as to eliminate the false and retain the true, remove the rough and extract the fine, and classify and summarize the data as needed. 4. Determine the forecasting method. Financial forecasting can only be accomplished by certain scientific methods. The company should choose the appropriate forecasting method according to the purpose of forecasting and the characteristics of obtaining information. When using quantitative methods, a mathematical statistical model should be established; When using qualitative methods, we should make an outline of the budget according to certain logical thinking. Make actual predictions. Use the selected scientific forecasting method to carry out the financial budget, and get the preliminary budget results. The prediction results can be expressed in words, tables or graphs. 6. Evaluate and correct the forecast results. After all, forecasting is a hypothesis and inference of future financial activities, and forecasting errors are inevitable. Therefore, the forecast results can only be adopted after economic analysis and evaluation. The focus of analysis and evaluation is the new changes of internal and external factors that affect future development. If the error is large, it should be revised or re-predicted to determine the best predicted value.