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During the past decades, seasonal autoregressive integrated moving average (SARIMA) had become one of a prevalent linear models in time series and forecasting. Empirical research advocated that forecasting with non-linear models can be an encouraging alternative to traditional linear models....
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apply extreme value theory (EVT) distributions to predict extreme losses of five South African (SA) financial times stock …
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Extreme value data with a high clump-at-zero occur in many domains. Moreover, it might happen that the observed data are either truncated below a given threshold and/or might not be reliable enough below that threshold because of the recording devices. These situations occur in particular with...
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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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This study aims to overcome the problem of dimensionality, accurate estimation, and forecasting Value-at-Risk (VaR) and … bulk distribution components. This implies that the combination of a stochastic econometric model with extreme value theory …
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