Description Usage Arguments Author(s) References Examples

View source: R/LogNormalESPlot2DCL.R

Plots the ES of a portfolio against confidence level assuming that geometric returns are normally distributed, for specified confidence level and holding period.

1 |

`...` |
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 geometric return data mu Mean of daily geometric return data sigma Standard deviation of daily geometric return data investment Size of investment cl ES confidence level and must be a vector hp ES holding period and must be a scalar |

Dinesh Acharya

Dowd, K. Measuring Market Risk, Wiley, 2007.

1 2 3 4 5 6 7 8 | ```
# Plots ES against confidence level
data <- runif(5, min = 0, max = .2)
LogNormalESPlot2DCL(returns = data, investment = 5,
cl = seq(.9,.99,.01), hp = 60)
# Plots ES against confidence level
LogNormalESPlot2DCL(mu = .012, sigma = .03, investment = 5,
cl = seq(.9,.99,.01), hp = 40)
``` |

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