panic_copula: Panic-Copula for Stress-Testing

In Reckziegel/CMA: Copula Marginal Algorithm (CMA)

Panic-Copula for Stress-Testing

Description

This function generates a large dimensional panic copula that can be further used for stress-testing and panic-aware portfolio optimization.

Usage

panic_copula(
  x,
  n = 10000,
  panic_cor = 0.99,
  panic_prob = 0.02,
  dist = c("normal", "t")
)

Arguments

x	A rectangular (non-tidy) data structure.
n	An integer with the number of scenarios to be generated.
panic_cor	A numeric value for the correlation in panic markets.
panic_prob	A numeric value with the probability in which panic markets can be triggered.
dist	A character with normal or t. The default is normal

Value

An object of the panic class.

Examples

x <- diff(log(EuStockMarkets))
panic_copula(x = x, n = 20, panic_cor = 0.99, panic_prob = 0.02)

Reckziegel/CMA documentation built on July 13, 2022, 10:31 p.m.