| PMTD | R Documentation |
This function computes the solution of a minimum tail dependent portfolio (long-only).
PMTD(Returns, method = c("EmpTC", "EVT"), k = NULL, percentage = TRUE,
optctrl = ctrl(),...)
Returns |
A rectangular array of return data. |
method |
Character, the type of non-parametric estimation. |
k |
Integer, the threshold value for the order statistic. If left
|
percentage |
Logical, whether the weights shall be returned as decimals or percentages (default). |
optctrl |
Object of class |
... |
Arguments are passed down to |
Akin to the optimisation of a global minimum-variance portfolio, the
minimum tail dependennt portfolio is determined by replacing the
variance-covariance matrix with the matrix of the lower tail
dependence coefficients as returned by tdc.
An object of formal class "PortSol".
The optimisation is conducted by calling cccp().
Bernhard Pfaff
tdc, "PortSol"
data(StockIndex)
Rets <- returnseries(StockIndex, method = "discrete", trim = TRUE,
percentage = TRUE)
PMTD(Rets)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.