DaxCacNik {bayesDccGarch} | R Documentation |
The matrix DaxCacNik
contains daily observations of the
hundredfold log-returns of daily indices of stock markets in Frankfurt (DAX),
Paris (CAC40) and Tokyo (NIKKEI), from 10 October 1991 until 30 December 1997
(a total of 1627 days). The stock market data is freely available at
https://robjhyndman.com/tsdldata/data/FVD1.dat.
data(DaxCacNik)
Jose Augusto Fiorucci, Ricardo Sandes Ehlers and Francisco Louzada
Fioruci, J.A., Ehlers, R.S. Andrade Filho, M.G. Bayesian multivariate GARCH models with dynamic correlations and asymmetric error distributions, Journal of Applied Statistics, 41(2), 320–331, 2014. <doi:10.1080/02664763.2013.839635>