29.constant_correlation_R_example

29.constant_correlation_R_example - #CONSTANT CORRELATION...

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Unformatted text preview: #CONSTANT CORRELATION MODEL - EXAMPLE: #Read the data: data1 <- read.table("http://www.stat.ucla.edu/~nchristo/statistics_c183_c283/stocks_10.txt", header=TRUE) #Compute the average correlation: rho <- (sum(cor(data1[1:10]))-10)/90 #Initialize the vectors: col1 <- rep(0,10) col2 <- rep(0,10) col3 <- rep(0,10) #Initialize the var-covar matrix: y <- rep(0,100) mat <- matrix(y, ncol=10, nrow=10) #Compute necessary quantities: Rbar <- mean(data1[1:10]) Rbar_f <- Rbar-0.0003 sigma <- sd(data1[1:10]) Ratio <- Rbar_f/sigma #Initial table: xx <- (cbind(Rbar, Rbar_f, sigma, Ratio)) #Order the table based on the excess return to sigma ratio: aaa <- xx[order(-Ratio),] #Create the last 3 columns of the table: for(i in(1:10)) { col1[i] <- rho/(1-rho+i*rho) col2[i] <- sum(aaa[,4][1:i]) } #Compute the Ci: for(i in (1:10)) { col3[i] <- col1[i]*col2[i] } #Create the entire table until now: xxx <- cbind(aaa, col1, col2, col3) #SHORT SALES ALLOWED: #Compute the Zi: z <- (1/((1-rho)*xxx[,3]))*(xxx[,4]-xxx[,7][nrow(xxx)]) #Compute the xi: x <- z/sum(z) #The final table: aaaa <- cbind(xxx, z, x) #SHORT SALES NOT ALLOWED:...
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This note was uploaded on 06/02/2011 for the course STATS 183 taught by Professor Nicolas during the Spring '11 term at UCLA.

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29.constant_correlation_R_example - #CONSTANT CORRELATION...

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