VaRES (version 1.0.1)

HL: Hankin-Lee distribution

Description

Computes the pdf, cdf, value at risk and expected shortfall for the Hankin-Lee distribution due to Hankin and Lee (2006) given by $$\begin{array}{ll} &\displaystyle {\rm VaR}_p (X) = \frac {c p^a}{(1 - p)^b}, \\ &\displaystyle {\rm ES}_p (X) = \frac {c}{p} B_p (a + 1, 1 - b) \end{array}$$ for \(0 < p < 1\), \(c > 0\), the scale parameter, \(a > 0\), the first shape parameter, and \(b > 0\), the second shape parameter.

Usage

varHL(p, a=1, b=1, c=1, log.p=FALSE, lower.tail=TRUE)
esHL(p, a=1, b=1, c=1)

Arguments

p

scaler or vector of values at which the value at risk or expected shortfall needs to be computed

c

the value of the scale parameter, must be positive, the default is 1

a

the value of the first shape parameter, must be positive, the default is 1

b

the value of the second shape parameter, must be positive, the default is 1

log

if TRUE then log(pdf) are returned

log.p

if TRUE then log(cdf) are returned and quantiles are computed for exp(p)

lower.tail

if FALSE then 1-cdf are returned and quantiles are computed for 1-p

Value

An object of the same length as x, giving the pdf or cdf values computed at x or an object of the same length as p, giving the values at risk or expected shortfall computed at p.

References

S. Nadarajah, S. Chan and E. Afuecheta, An R Package for value at risk and expected shortfall, submitted

Examples

# NOT RUN {
x=runif(10,min=0,max=1)
varHL(x)
esHL(x)
# }