DAGM_cond_vol_no_skew {rumidas} | R Documentation |
DAGM conditional volatility (no skewness)
Description
Obtains the conditional volatility for the DAGM. For details, see Amendola et al. (2019).
Usage
DAGM_cond_vol_no_skew(param, daily_ret, mv_m, K, lag_fun = "Beta")
Arguments
param |
Vector of estimated values. It must be a seven- or eight- dimensional vector. See the examples below. |
daily_ret |
Daily returns, which must be an "xts" object. |
mv_m |
MIDAS variable already transformed into a matrix, through |
K |
Number of (lagged) realizations of the MIDAS variable to consider. |
lag_fun |
optional. Lag function to use. Valid choices are "Beta" (by default) and "Almon", for the Beta and Exponential Almon lag functions, respectively. |
Value
The resulting vector is an "xts" object representing the conditional volatility.
References
Amendola A, Candila V, Gallo GM (2019). “On the asymmetric impact of macro–variables on volatility.” Economic Modelling, 76, 135–152. doi:10.1016/j.econmod.2018.07.025.
See Also
Examples
# est_val<-c(0.01,0.80,0,0.1,1.1,-0.3,1.1)
# r_t<-sp500['/2010']
# mv_m<-mv_into_mat(r_t,diff(indpro),K=12,"monthly")
# head(DAGM_cond_vol_no_skew(est_val,r_t,mv_m,K=12))