#' summary FundamentalFactorModel object
#'
#' Generic function of summary method for \code{fitFundamentalFactorModel}.
#'
#'
#' @param object An object created by \code{fitFundamentalFactorModel}.
#' @param digits integer indicating the number of decimal places. Default is 3.
#' @param ... Other arguments for \code{print} methods.
#' @author Yi-An Chen.
#' @method summary FundamentalFactorModel
#' @export
#' @examples
#'
#' data(Stock.df)
#' # there are 447 assets
#' exposure.names <- c("BOOK2MARKET", "LOG.MARKETCAP")
#' test.fit <- fitFundamentalFactorModel(data=stock,exposure.names=exposure.names,
#' datevar = "DATE", returnsvar = "RETURN",
#' assetvar = "TICKER", wls = TRUE,
#' regression = "classic",
#' covariance = "classic", full.resid.cov = TRUE,
#' robust.scale = TRUE)
#'
#' summary(test.fit)
#'
summary.FundamentalFactorModel <-
function(object, digits = max(3, .Options$digits - 3), ...)
{
if(!is.null(cl <- object$call)) {
cat("\nCall:\n")
dput(cl)
}
cat("\nFactor Returns:\n")
n <- dim(object$factor.returns)[1]
k <- dim(object$factor.returns)[2]
se.beta <- object$factor.returns/object$tstat
pvalue <- 1- pt(object$tstat,df=n-k)
table.fund <- cbind(object$factor.returns[,1],se.beta[,1],object$tstat[,1])
f.names <- colnames(object$factor.returns)
for (i in 1:k) {
cat("\n",f.names[i],"\n")
table.fund <- cbind(object$factor.returns[,i],se.beta[,i],object$tstat[,i],pvalue[,i])
colnames(table.fund)[1:4] <- c("Estimate","Std. Error","t value","Pr(>|t|)")
print(table.fund, digits = digits,...)
}
cat("\nResidual Variance:\n")
print(object$resid.variance, digits = digits, ...)
}
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