table.SFM: Single Factor Asset-Pricing Model Summary: Statistics and Stylized Facts

Description

Takes a set of returns and relates them to a benchmark return. Provides a set of measures related to an excess return single factor model, or CAPM.

Usage

table.SFM(Ra, Rb, scale = NA, Rf = 0, digits = 4)

Arguments

Ra: a vector of returns to test, e.g., the asset to be examined
Rb: a matrix, data.frame, or timeSeries of benchmark(s) to test the asset against.
scale: number of periods in a year (daily scale = 252, monthly scale = 12, quarterly scale = 4)
Rf: risk free rate, in same period as your returns
digits: number of digits to round results to

Author

Peter Carl

Details

This table will show statistics pertaining to an asset against a set of benchmarks, or statistics for a set of assets against a benchmark.

Examples

Run this code

 # CRAN does not allow examples to load suggested packages in one of its tests
data(managers)
table.SFM(managers[,1:3], managers[,8], Rf = managers[,10])

result = table.SFM(managers[,1:3], managers[,8], Rf = managers[,10])
require(Hmisc)
textplot(result, rmar = 0.8, cmar = 1.5,  max.cex=.9, 
         halign = "center", valign = "top", row.valign="center", 
         wrap.rownames=15, wrap.colnames=10, mar = c(0,0,3,0)+0.1)
title(main="Single Factor Model Related Statistics")