ON ECONOMIC DATA PREDICTION BASED ON WAVELET ANALYSIS
Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2
Abstract
Using the least square method to deal with the abnormal data will have a great influence on its coefficient, which will result in inadequate fitting of the overall model. In this paper, the wavelet analysis method is firstly used to preprocess the economic data, then the least square method is used to conduct fitting and predicting the pretreatment data. Examples show that the results obtained by using the method presented in this paper are superior to those obtained using the least squares method, and it is further verified that the method can be further extended to the fields including stock forecasting, securities trading and other economic fields
Authors and Affiliations
Zhao Li, Biqing Li
Keywords
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- EP ID EP409299
- DOI 10.26480/icie.01.2017.53.55
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