Da: medimops, Berlin, Germania
EUR 10,74
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Aggiungi al carrelloCondizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Da: California Books, Miami, FL, U.S.A.
EUR 71,24
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Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 63,56
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Aggiungi al carrelloCondizione: New. In.
Editore: VDM Verlag Dr. Mueller e.K. 2008-05-05, 2008
ISBN 10: 3639014405 ISBN 13: 9783639014402
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 61,82
Convertire valutaQuantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Editore: VDM Verlag Dr. Müller|VDM Verlag Dr. Müller e.K., 2008
ISBN 10: 3639014405 ISBN 13: 9783639014402
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 74,28
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. We work in the setting of time series of financial returns.Our starting point are the GARCH models, which are very common in practice.We introduce the possibility of having crashes in such GARCH models.A crash will be modeled by drawing innovations from a d.
Editore: VDM Verlag Dr. Müller, VDM Verlag Dr. Müller E.K., 2008
ISBN 10: 3639014405 ISBN 13: 9783639014402
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 89,43
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - We work in the setting of time series of financial returns.Our starting point are the GARCH models, which are very common in practice.We introduce the possibility of having crashes in such GARCH models.A crash will be modeled by drawing innovations from a distribution with much mass on extremely negative events, while in normal times the innovations will be drawn from a normal distribution.The probability of a crash is modeled to be time dependent, depending on the past of the observed time series and/or exogenous variables. The aim is a splitting of risk into normal risk coming mainly from the GARCH dynamic and extreme event risk coming from the modeled crashes.For the ARCH case we formulate (quasi) maximum likelihood estimators and can derive conditions for consistency and asymptotic normality of the parameter estimates.On the practical side we look for the outcome of estimating models with genuine GARCH dynamic and compare the result toclassical GARCH models. We apply the models to Value at Risk estimation and see that in comparison to the classical modelsmany of ours seem to work better although we chose the crash distributions quite heuristically.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 134,16
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.