Problem I:
1. Find returns of NSE data of greater than 6 months having
selected the 10th data point as start and 95th data point as end.
2. Find plot of that return
Commands:
z<-read.csv(file.choose(),header=T)
head(z)
open<-z$Open[10:95]
open.ts<-ts(open,deltat=1/252)
open.ts
summary(open.ts)
z.diff<-diff(open.ts)
z.diff
returns<-cbind(open.ts,z.diff,lag(open.ts,k=-1))
returns
returns<-z.diff/lag(open.ts,k=-1)
returns
plot(returns)
Problem II
Do logit analysis for 700 data points and predict the probability for the next
150 data points.
Solutions:
Commands
z<-read.csv(file.choose(),header=T)
Readdata<-z[1:700,1:9]
Readdata$ed<-factor(Readdata$ed)
Readdata.est<-glm(default~age+ed+employ+address+income+debtinc+creddebt+othdebt,data=Readdata,family="binomial")
summary(Readdata.est)
Forecast<-z[701:850,1:8]
Forecast$ed<-factor(Forecast$ed)
Forecast$prob<-predict(Readdata.est,newdata=Forecast,type="response")
head(Forecast)




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