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estimator of conditional mean and volatility used in the conditional heteroskedastic autoregressive nonlinear (CHARN) model …
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significant transient dependence between returns and (ii) the presence of large outliers (dragon-kings) characterizing the extreme …
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Large data sets in finance with millions of observations have becomewidely available. Such data sets enable the construction of reliablesemi-parametric estimates of the risk associated with extreme pricemovements. Our approach is based on semi-parametric statisticalextreme value analysis, and...
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We study whether prices of traded options contain information about future extreme market events. Our option-implied conditional expectation of market loss due to tail events, or tail loss measure, predicts future market returns, magnitude, and probability of the market crashes, beyond and above...
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