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- W3159095402 abstract "In order to solve the problem of low prediction accuracy of traditional financial and economic growth trend prediction methods, this paper proposes a prediction method of financial economic growth trend based on pvar model. According to the influence parameters of financial and economic growth, the pvar model is constructed, and the impulse response function is used to correct the influence of random disturbance in pvar model to reduce the model error. The ant colony algorithm is used to mine the data of financial economy and cluster the data. Input the above data into the pvar model, and the output of the model is the prediction result of the financial and economic growth trend. Experimental results show that the proposed method can effectively correct the model error, and the prediction results are basically consistent with the actual results. Therefore, the prediction performance of the proposed method is good." @default.
- W3159095402 created "2021-05-10" @default.
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- W3159095402 date "2021-01-01" @default.
- W3159095402 modified "2023-09-26" @default.
- W3159095402 title "Prediction of financial economic growth trend based on PVAR model" @default.
- W3159095402 doi "https://doi.org/10.1109/icmtma52658.2021.00191" @default.
- W3159095402 hasPublicationYear "2021" @default.
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