[Returnanalytics-commits] r3925 - pkg/Dowd/man

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Fri Aug 7 10:32:23 CEST 2015


Author: dacharya
Date: 2015-08-07 10:32:23 +0200 (Fri, 07 Aug 2015)
New Revision: 3925

Added:
   pkg/Dowd/man/tVaRPlot2DCL.Rd
Log:
Function tVaRPlot2DCL added

Added: pkg/Dowd/man/tVaRPlot2DCL.Rd
===================================================================
--- pkg/Dowd/man/tVaRPlot2DCL.Rd	                        (rev 0)
+++ pkg/Dowd/man/tVaRPlot2DCL.Rd	2015-08-07 08:32:23 UTC (rev 3925)
@@ -0,0 +1,45 @@
+% Generated by roxygen2 (4.1.1): do not edit by hand
+% Please edit documentation in R/tVaRPlot2DCL.R
+\name{tVaRPlot2DCL}
+\alias{tVaRPlot2DCL}
+\title{Plots t VaR against confidence level}
+\usage{
+tVaRPlot2DCL(...)
+}
+\arguments{
+\item{...}{The input arguments contain either return data or else mean and
+ standard deviation data. Accordingly, number of input arguments is either 4
+ or 5. In case there 4 input arguments, the mean and standard deviation of
+ data is computed from return data. See examples for details.
+
+ returns Vector of daily P/L data data
+
+ mu Mean of daily P/L data data
+
+ sigma Standard deviation of daily P/L data data
+
+ df Number of degrees of freedom in the t distribution
+
+ cl VaR confidence level and must be a vector
+
+ hp VaR holding period and must be a scalar}
+}
+\description{
+Plots the VaR of a portfolio against confidence level assuming that P/L data
+is t distributed, for specified confidence level and holding period.
+}
+\examples{
+# Plots VaR against confidene level given P/L data data
+   data <- runif(5, min = 0, max = .2)
+   tVaRPlot2DCL(returns = data, df = 6, cl = seq(.85,.99,.01), hp = 60)
+
+   # Computes VaR against confidence level given mean and standard deviation of P/L data
+   tVaRPlot2DCL(mu = .012, sigma = .03, df = 6, cl = seq(.85,.99,.01), hp = 40)
+}
+\author{
+Dinesh Acharya
+}
+\references{
+Dowd, K. Measuring Market Risk, Wiley, 2007.
+}
+



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