Research on Exchange Rate Forecasting Model Based on ARIMA Model and Artificial Neural Network Model

DOI

10.2991/msmee-17.2017.225How to use a DOI?

Keywords

ARIMA model, BP neural network model, exchange rate

Abstract

This paper uses the ARIMA and BP neural network model to forecast the exchange rate by collecting the monthly exchange rate data of RMB exchange rate from 2001 to 2017, and put forward the combined forecasting method of ARIMA and BP neural network model. From the prediction results, the results of the combined forecast are obviously better than the single model. The prediction error of the combined prediction model is 0.1433, while the prediction error of ARIMA and BP single model is 0.1514 and 0.1677.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Min Xu
AU  - Weiguo Li
PY  - 2017/05
DA  - 2017/05
TI  - Research on Exchange Rate Forecasting Model Based on ARIMA Model and Artificial Neural Network Model
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1191
EP  - 1196
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.225
DO  - 10.2991/msmee-17.2017.225
ID  - Xu2017/05
ER  -