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我想用具有差异时间序列的AR(4)模型提前n步预测。对于循环AR模型
模型本身:
X(t)-X(t-1)=a(1)(X(t-1)-X(t-2))+...+a(4)(X(t-4)-X(t-5))
=> X(t)=X(t-1)+a(1)(X(t-1)-X(t-2))+...+a(4)(X(t-4)-X(t-5))
首次预测:
X(t+1)-X(t)=a(1)(X(t)-X(t-1))+...+a(4)(X(t-3)-X(t-4))
=> X(t+1)=X(t)+a(1)(X(t)-X(t-1))+...+a(4)(X(t-3)-X(t-4))
二预测:
X(t+2)-X(t+1)=a(1)(X(t+1)-X(t))+...+a(4)(X(t-2)-X(t-3))
=> X(t+2)=X(t+1)+a(1)(X(t+1)-X(t))+...+a(4)(X(t-2)-X(t-3))
N<-50
arkoef<-0
ar<-0
ARforecast<-numeric(0)
arkoef<-c(closingkursu[2518],closingkursu[2517],closingkursu[2516],closingkursu[2515],closingkursu[2514])
ar<-arkoef
for(i in 1:N){
ARforecast<-c(ARforecast,arkoef[1]+arfit$coef[1]*(arkoef[1]-arkoef[2])+arfit$coef[2]*(arkoef[2]-arkoef[3])+arfit$coef[3]*(arkoef[3]-arkoef[4])+arfit$coef[4]*(arkoef[4]-arkoef[5]))
ar = c(tail(ARforecast, 1), head(ar, -1))}
此代码的输出是:
ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1
10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656
ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1
10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656
ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1 ar1
10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656 10.19656
的首次预测似乎是正确的,但环心不是工作10我这个代码试过了。
的arfit $ COEF [1]到arfit $ COEF [4]固定系数和索引我会改变他们,我假设。但代码给了我50个警告和NA作为价值 – user2968163