Please use this identifier to cite or link to this item: http://univ-bejaia.dz/dspace/123456789/20256
Title: Desision making around black swan events
Other Titles: the case of Algeria
Authors: Djebari, Faycal
Hammache, Amelia Rose
Mazouz, Khelifa
Keywords: Black Swan Events : Econometric Forecasting : GARCH model : Granger Causality : OPEC Crude Oil : GDP of Algeria
Issue Date: 2022
Publisher: Université Abderrahmane Mira de Bejaia
Abstract: The Black Swan event is a term introduced by Nassim Nicholas Taleb andrepresents an event with three characteristics: rare,has an extreme impact and retrospective (though not prospective) predictability.In other words,it is an unpredictable event as no one can predict it by forecasting.Examples of Black Swan events include:The Covid-19, the subprime crisis of 2008 and the great recession of 1929. Inthis study, we will presentBlack Swan events in the economics context and discuss the reason why these eventsare inducing a major problem of predictability in Econometrics. Our analyze will be based on GARCH model, with the application to OPEC Crude Oil prices. Our purpose is to analyze the volatility of the oil market around Black Swan event and todetermine whether sophisticated models, such as GARCH,can predict unpredictable events.
Description: Économie Quantitative
URI: http://univ-bejaia.dz/dspace/123456789/20256
Appears in Collections:mémoires de Masters

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