Description Usage Arguments Value Author(s) References Examples
Estimates the ES of a portfolio assuming that P/L are t-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 P/L data mu Mean of daily geometric return data sigma Standard deviation of daily geometric return data df Number of degrees of freedom in the t-distribution cl ES confidence level hp ES holding period in days |
Matrix of ES whose dimension depends on dimension of hp and cl. If cl and hp are both scalars, the matrix is 1 by 1. If cl is a vector and hp is a scalar, the matrix is row matrix, if cl is a scalar and hp is a vector, the matrix is column matrix and if both cl and hp are vectors, the matrix has dimension length of cl * length of hp.
Dinesh Acharya
Dowd, K. Measuring Market Risk, Wiley, 2007.
Evans, M., Hastings, M. and Peacock, B. Statistical Distributions, 3rd edition, New York: John Wiley, ch. 38,39.
1 2 3 4 5 6 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.