Budgeting planning plays an important role in coordinating activities in organizations. An accurate sales volume forecasting is the key to the entire budgeting process. All of the other parts of the master budget are ...Budgeting planning plays an important role in coordinating activities in organizations. An accurate sales volume forecasting is the key to the entire budgeting process. All of the other parts of the master budget are dependent on the sales volume forecasting in some way. If the sales volume forecasting is sloppily done, then the rest of the budgeting process is largely a waste of time. Therefore, the sales volume forecasting process is a critical one for most businesses, and also a difficult area of management. Most of researches and companies use the statistical methods, regression analysis, or sophisticated computer simulations to analyze the sales volume forecasting. Recently, various prediction Artificial Intelligent (AI) techniques have been proposed in forecasting. Support Vector Regression (SVR) has been applied successfully to solve problems in numerous fields and proved to be a better prediction model. However, the select of appropriate SVR parameters is difficult. Therefore, to improve the accuracy of SVR, a hybrid intelligent support system based on evolutionary computation to solve the difficulties involved with the parameters selection is presented in this research. Genetic Algorithms (GAs) are used to optimize free parameters of SVR. The experimental results indicate that GA-SVR can achieve better forecasting accuracy and performance than traditional SVR and artificial neural network (ANN) prediction models in sales volume forecasting.展开更多
An automatic analysis of financial figures is common way for investors to analyze financial reports. However, using solely financial statements does not represent the comprehensive financial story of a company. Recent...An automatic analysis of financial figures is common way for investors to analyze financial reports. However, using solely financial statements does not represent the comprehensive financial story of a company. Recently, many people express their opinions and search for information on the Internet. The adoption of the Internet has generated another type of data for analysis, i.e. Google Index. The purpose of this research is to prove Google Index is a good indicator for investors to analyze companies’ status. In this study, random forest (RF) is used to investigate the relationship between company’s financial performance and financial ratios and Google Index. From the results of RF model, we can see Google trend also plays a major role in determining the company’s profit except the stock index and operating margin.展开更多
文摘Budgeting planning plays an important role in coordinating activities in organizations. An accurate sales volume forecasting is the key to the entire budgeting process. All of the other parts of the master budget are dependent on the sales volume forecasting in some way. If the sales volume forecasting is sloppily done, then the rest of the budgeting process is largely a waste of time. Therefore, the sales volume forecasting process is a critical one for most businesses, and also a difficult area of management. Most of researches and companies use the statistical methods, regression analysis, or sophisticated computer simulations to analyze the sales volume forecasting. Recently, various prediction Artificial Intelligent (AI) techniques have been proposed in forecasting. Support Vector Regression (SVR) has been applied successfully to solve problems in numerous fields and proved to be a better prediction model. However, the select of appropriate SVR parameters is difficult. Therefore, to improve the accuracy of SVR, a hybrid intelligent support system based on evolutionary computation to solve the difficulties involved with the parameters selection is presented in this research. Genetic Algorithms (GAs) are used to optimize free parameters of SVR. The experimental results indicate that GA-SVR can achieve better forecasting accuracy and performance than traditional SVR and artificial neural network (ANN) prediction models in sales volume forecasting.
文摘An automatic analysis of financial figures is common way for investors to analyze financial reports. However, using solely financial statements does not represent the comprehensive financial story of a company. Recently, many people express their opinions and search for information on the Internet. The adoption of the Internet has generated another type of data for analysis, i.e. Google Index. The purpose of this research is to prove Google Index is a good indicator for investors to analyze companies’ status. In this study, random forest (RF) is used to investigate the relationship between company’s financial performance and financial ratios and Google Index. From the results of RF model, we can see Google trend also plays a major role in determining the company’s profit except the stock index and operating margin.
