Periodic table of investment returns
Here we will try to replicate the pretty periodic table of investment returns found on the ishares website. For those countries where MSCI index data was not available, a general market index was used instead. Returns are computed from log differences in adjusted prices across 18 developed countries.
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setwd("C:/University of Warwick/R experiments/Spatial") library(quantmod) library(timeSeries) library(RColorBrewer) dev.names<-c('Austria','Australia','Italy','Switzerland','Japan','Singapore','Canada','UK','Spain','Belgium','Hong Kong','France','Germany','USA','Netherlands','Sweden','Ireland','New Zealand') dev.abr<-c('AUS','AUST','ITAL','CHF','JPY','SGP','CAN','UK','SPA','BEL','HK','FRA','GER','USA','NET','SWD','IRL','NZL') dev.ticker<-c('EWO','EWA','EWI','EWL','EWJ','EWS','EWC','EWU','EWP','EWK','EWH','EWQ','EWG','VTI','EWN','EWS','^ISEQ','^NZGI') dev.col<-as.matrix(topo.colors(length(dev.names),alpha=0.8)) rownames(dev.col)<-dev.abr time.frame<-as.character(2002:2011) num<-length(dev.names) f<-as.Date('2002-01-01') e<-as.Date('2011-12-31') assets<-NULL dev.ret.matrix<-NULL for(i in 1:num){ print(paste("Downloading data for :", dev.names[i])) assets$name[[i]]<-dev.names[[i]] assets$ticker[[i]]<-dev.ticker[[i]] getSymbols(dev.ticker[i],from=f,to=e) ifelse(strsplit(dev.ticker[i],'')[[1]][1]=='^',assets$prices[[i]]<-get(substr(dev.ticker[i],start=2,stop=5))[,4],assets$prices[[i]]<-get(dev.ticker[i])[,4]) assets$annRet[[i]]<-as.timeSeries(annualReturn(assets$prices[[i]],type='log')*100) dev.ret.matrix<-cbind(dev.ret.matrix,assets$annRet[[i]]) } dev.ret.matrix<-t(dev.ret.matrix) rownames(dev.ret.matrix)<-dev.abr colnames(dev.ret.matrix)<-time.frame windows(width=14,height=14) par(mai=c(0,0.2,0,0)) layout(matrix(c(1,1,1,1,1,1,1,1,1,2),nrow=10,ncol=1)) plot.new() plot.window(xlim=c(-1,109),ylim=c(0,194)) for(i in 1:10){ for(j in 1:19){ if(j==19) { rect((i-1)*11,(j-1)*10,11*i,(j*10)-2,density=NA,col='darkblue',lty=1,border='white') text((11*i)-5.5,(19*10)-6,time.frame[i],cex=0.95,col="white",font=2) } else if(j<19) { temp<-as.matrix(dev.ret.matrix[order(dev.ret.matrix[,i]),i][j],1) col.code<-dev.col[rownames(temp),] rect((i-1)*11,(j-1)*10+1,11*i,(j*10)+4,density=NA,col=col.code,lwd=1.0,border='white') text((i-1)*11+5,(j-1)*10+8,rownames(temp),col='black',cex=0.8,font=2) text((i-1)*11+6,(j-1)*10+4,paste(round(temp,2),'%'),col='black',cex=0.8,font=2) } } } mtext(side=2,'Ranked in order of performance',cex=0.70,col='black',font=2) text(x=50,y=195,'Periodic Table Of Investment Returns',col='black',font=2) arrows(-3,100,-3,170,length=0.07,col='black',lwd=2) arrows(-3,100,-3,11,length=0.07,col='black',lwd=2) text(x=-2.8,y=175,'Max',col='black',font=2,cex=1) text(x=-3.0,y=6,'Min',col='black',font=2,cex=1) plot.new() par(mai=c(0,0.2,0,0.2)) legend("top",fill=dev.col,legend=dev.names,ncol=6,bty='n',x.intersp=0.3,title.adj=0.95,title='Colour Codes',border='white') abline(h=0.75)
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For a better quality click on the pdf version here : HighQuality