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Conditional Heteroscedasticity (GARCH) volatility model. The optimization was performed by employing a Nondominated Sorting … to those obtained from applying more customary mean-multivariate GARCH and historical VaR models. The results hold true …
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identified by generalized autoregressive conditional heteroskedasticity (GARCH) are reviewed and compared in a Monte Carlo study …. The bootstrap methods considered are a wild bootstrap, a moving blocks bootstrap and a GARCH residual based bootstrap …. Estimation is done by Gaussian maximum likelihood, a simplified procedure based on univariate GARCH estimations and a method that …
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We introduce SRISK to measure the systemic risk contribution of a financial firm. SRISK measures the capital shortfall of a firm conditional on a severe market decline, and is a function of its size, leverage and risk. We use the measure to study top US financial institutions in the recent...
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