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Evaluation of volatility forecasts
| dcterms.contributor.author | Candila, Vincenzo | |
| dc.date.accessioned | 2014-06-30T09:35:32Z | |
| dc.date.available | 2014-06-30T09:35:32Z | |
| dcterms.date.issued | 2014-03-05 | |
| dcterms.identifier.uri | http://hdl.handle.net/10556/1430 | |
| dcterms.identifier.uri | http://dx.doi.org/10.14273/unisa-276 | |
| dc.description | 2012 - 2013 | en_US |
| dc.description.abstract | The modelization of risk is a hard task for many financial institutions. This explains the great interest for the volatility models during last decades. In this framework, the volatility predictions deriving from a set of models is a partly unexplored research field. A general formulation of this problem involves the volatitlity proxy, the forecasting models, the forecasting scheme used to generate the predictions and the function employed to evalue the forecasts. In this thesis, the volatility proxy is the realized volatitlity while the forecasting models are the (univariate and multivariate) Garch models and the models that models that re-paranetrize the realized volatility... [edited by author] | en_US |
| dc.language.iso | en | en_US |
| dcterms.publisher.alternative | Universita degli studi di Salerno | en_US |
| dcterms.subject | Multivariate GARCH models | en_US |
| dcterms.subject | Loss function | en_US |
| dcterms.subject | Value at risk | en_US |
| dcterms.title | Evaluation of volatility forecasts | en_US |
| dcterms.type | Doctoral Thesis | en_US |
| dc.subject.miur | SECS-P/01 ECONOMIA POLITICA | en_US |
| dc.contributor.coordinatore | Amendola, Alessandra | en_US |
| dc.description.ciclo | XII n.s. | en_US |
| dc.contributor.tutor | Amendola, Alessandra | en_US |
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