Title :
Fuzzy time series forecasting for RMB´s exchange rate based on FCM
Author :
Zhao Qing-Jiang ; Chi Kai ; Fu Fang-Ping ; Li Chao-Chao ; Che Wen-Gang
Author_Institution :
Dept. of Phys. & Technol., Kunming Univ., Kunming, China
Abstract :
Forecasting exchange rate is one of the most important research topics in financial time series field. In this paper, the author combine fuzzy time series model with fuzzy clustering method to predict the USD/CHY exchange rate. The empirical results show that this method can obviously obtain higher forecasting precision than some traditional ones.
Keywords :
economic forecasting; exchange rates; fuzzy set theory; pattern clustering; time series; FCM; RMBs exchange rate forecasting; USD/CHY exchange rate; fuzzy clustering method; fuzzy time series model; Electronic mail; Exchange rates; Forecasting; Fuzzy sets; Genetics; Prediction algorithms; Time series analysis;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6