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longer burn-in period
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R/simulate_mfgarch.R

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@@ -183,7 +183,5 @@ simulate_mfgarch_rv_dependent <- function(n.days, mu, alpha, beta, gamma, m, the
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# res$covariate <- rep(sqrt(aggregate(res[c("return")], by = list(month = res$low_freq), FUN = function(x) mean(x^2))$return), each = low.freq)
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res[(low.freq * K * 3 + 1):n.days, ]
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res[(low.freq * K * 10 + 1):n.days, ]
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}

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