电子测试
電子測試
전자측시
ELECTRONIC TEST
2015年
2期
34-36
,共3页
非人民币贷款%ARIMA模型%灰色预测%自适应过滤
非人民幣貸款%ARIMA模型%灰色預測%自適應過濾
비인민폐대관%ARIMA모형%회색예측%자괄응과려
non-RMB loans%ARIMA model%GM(1,1)model%adaptive filtering model
分析了除人民币贷款以外的融资方式及其发展情况,通过建立非平稳时间序列(ARIMA)模型,灰色预测GM(1,1)残差模型,自适应过滤法三种,选取残差较小的两种进行组合预测,预计到2018年该比率将会达到77.57%,在此基础上给出相应建议。
分析瞭除人民幣貸款以外的融資方式及其髮展情況,通過建立非平穩時間序列(ARIMA)模型,灰色預測GM(1,1)殘差模型,自適應過濾法三種,選取殘差較小的兩種進行組閤預測,預計到2018年該比率將會達到77.57%,在此基礎上給齣相應建議。
분석료제인민폐대관이외적융자방식급기발전정황,통과건립비평은시간서렬(ARIMA)모형,회색예측GM(1,1)잔차모형,자괄응과려법삼충,선취잔차교소적량충진행조합예측,예계도2018년해비솔장회체도77.57%,재차기출상급출상응건의。
These years,RMB loan is still the main financing means in the economy, but the other innovative financing way is gradually playing an increasingly important role.In organizing the dissertation,we focus on the non-RMB loan financing ways,using the ARIMA model,GM(1,1)model and adaptive filtering model as a combination forecast to help the analysis.By the end of 2018 ,the ratio of non-RMB loans will reach 77.57%and relevant suggestions are given in the essay .