- specifically, volatility clustering effectively captured by a GARCH model - this approach achieves global identification of shocks …

In this paper we compared two distinct volatility forecasting approaches. GARCH models were contrasted to the models …

This paper examines exchange-rate volatility with GARCH models using monthly exchange-rate return series from 1985:1 to … compare estimates of variants of GARCH models with break in respect of the US dollar rates with exogenously determined break … estimation of volatility models with breaks as against those of GARCH models without volatility breaks and that the introduction …

SE jeweils mit einem einfachen gewichteten Durchschnitt, exponentiell gewichteten Durchschnitt, GARCH- und T-GARCH … estimation through a simple moving average, an exponentially weighted average, a GARCH-, and a T-GARCH-Model. We find that the …

heteroskedasticity (GARCH) models capture extreme events in stock market returns. We estimate Hill's tail indexes for individual S&P 500 … stock market returns ranging from 1995-2014 and compare these to the tail indexes produced by simulating GARCH models. Our … results suggest that actual and simulated values differ greatly for GARCH models with normal conditional distributions, which …

Estimation of GARCH models can be simplified by augmenting quasi-maximum likelihood (QML) estimation with variance … volatility equation and corresponding value-at-risk predictions. We find that most GARCH coefficients and associated predictions …

BEKK-GARCH model to estimate time-varying conditional correlations. Gold plays an important role in financial markets with …