ghd_fit {StockDistFit}

Fit Generalized Hyperbolic Distribution to a vector of returns/stock prices.

Description

This function fits the Generalized Hyperbolic (GH) distribution to a given data vector using the fit.ghypuv function from the ghyp package. It returns the estimated parameters along with the AIC and BIC values for the fitted distribution.

Usage

ghd_fit(vec)

Arguments

vec

a numeric vector containing the data to be fitted.

Value

a list containing the following elements:

par

a numeric vector of length 5 containing the estimated values for the parameters of the fitted distribution: lambda (location), alpha (scale), mu (degrees of freedom), sigma (standard deviation), and gamma (skewness).

aic

the Akaike information criterion (AIC) value for the fitted distribution.

bic

the Bayesian information criterion (BIC) value for the fitted distribution.

See Also

norm_fit, t_fit, cauchy_fit, hd_fit, sym.ghd_fit, sym.hd_fit, vg_fit, sym.vg_fit, nig_fit, ged_fit, skew.t_fit, skew.normal_fit, skew.ged_fit

Examples

stock_prices <- c(10, 11, 12, 13, 14, 16, 24)
returns <- diff(log(stock_prices))
ghd_fit(returns)