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Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both effective and efficient. Among different kinds of machine learning models, kernel methods are well accepted since they are more robust and accurate than traditional models, such as neural networks. However, learning from...
The price index of commodity retail is a relative number reflected the price of commodity retail variable trend and degree in a given period. The price of commodity retail's variation directly effect residents' payment and national financial revenue. So in order to forecast the variable trend of commodity price index, a new model is presented that based on support vector machine (SVM). Firstly, the...
CARRX model is a new volatility model. This paper applies least squares support vector regression to the CARRX model and a LSSVR-based CARRX model is established for predicting the range volatility of Chinese stock index. Out-of-sample forecasting results of using the LSSVR-CARRX model are compared with that of the ANN-CARRX model. Empirical results show that for the RMSE, MAE, MPE, Theil and Mincer-Zarnowitz...
In this paper, a hybrid prediction model based on rough set (RS) and support vector machine (SVM), RSS prediction model, is proposed to explore the stock index futures tendency. In this approach, RS is used for feature vectors selection to reduce the computation complexity of SVM and then the SVM is used to identify stock index futures movement direction. To evaluate the prediction ability of RSS...
Based on the comprehensive analysis of the existing risk early warning methods in real estate, a new risk forecast method based on support vector machine is put forward. And a risk early warning model in real estate market based on support vector machine is established. The realization process of the risk early warning method is discussed. Taking the practical data in real estate exploitation as the...
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