skew.ged_fit {StockDistFit} | R Documentation |
Fit Skewed Generalized Error Distribution to a vector of returns/stock prices.
Description
This function fits the Skewed Generalized Error Distribution to a given data vector using the skew.ged_fit
function from
the fGarch
package. It returns the estimated parameters along with the AIC and BIC values for the fitted
distribution.
Usage
skew.ged_fit(vec)
Arguments
vec |
A numeric vector of data. |
Value
A list with the following elements:
- params
A numeric vector of length 4 containing the fitted SGED parameters: shape, scale, location, and skewness.
- aic
The Akaike Information Criterion (AIC) for the fitted model.
- bic
The Bayesian Information Criterion (BIC) for the fitted model.
See Also
norm_fit
, t_fit
, cauchy_fit
, ghd_fit
, hd_fit
,
sym.ghd_fit
, sym.hd_fit
, vg_fit
, sym.vg_fit
,
nig_fit
, ged_fit
, skew.t_fit
,
skew.normal_fit
Examples
stock_prices <- c(10, 11, 12, 13, 14, 17, 18)
returns <- diff(log(stock_prices))
skew.ged_fit(returns)
[Package StockDistFit version 1.0.0 Index]