dc.contributor.advisor |
Barro, Diana |
it_IT |
dc.contributor.author |
Manfe', Gianluca <1994> |
it_IT |
dc.date.accessioned |
2019-02-18 |
it_IT |
dc.date.accessioned |
2019-06-11T08:40:56Z |
|
dc.date.available |
2019-06-11T08:40:56Z |
|
dc.date.issued |
2019-03-22 |
it_IT |
dc.identifier.uri |
http://hdl.handle.net/10579/14218 |
|
dc.description.abstract |
The aim of the paper is to accomplish a literature review with regard to different approaches to volatility and Value-at-Risk forecasting. In particular, the attention will focus on time series models that exploit the increasing availability and informative power of high-frequency information. Afterwards, an empirical analysis concerning VaR forecast is carried out |
it_IT |
dc.language.iso |
en |
it_IT |
dc.publisher |
Università Ca' Foscari Venezia |
it_IT |
dc.rights |
© Gianluca Manfe', 2019 |
it_IT |
dc.title |
Value-at-Risk forecasting using high-frequency data |
it_IT |
dc.title.alternative |
Forecasting Value-at-Risk using high frequency data |
it_IT |
dc.type |
Master's Degree Thesis |
it_IT |
dc.degree.name |
Sviluppo economico e dell'impresa |
it_IT |
dc.degree.level |
Laurea magistrale |
it_IT |
dc.degree.grantor |
Dipartimento di Economia |
it_IT |
dc.description.academicyear |
2017/2018, sessione straordinaria |
it_IT |
dc.rights.accessrights |
openAccess |
it_IT |
dc.thesis.matricno |
849688 |
it_IT |
dc.subject.miur |
SECS-P/05 ECONOMETRIA |
it_IT |
dc.description.note |
The aim of the paper is to accomplish a literature review with regard to different approaches to volatility and Value-at-Risk forecasting. In particular, the attention will focus on time series models that exploit the increasing availability and informative power of high-frequency information. Afterwards, an empirical analysis concerning VaR forecast is carried out. |
it_IT |
dc.degree.discipline |
|
it_IT |
dc.contributor.co-advisor |
|
it_IT |
dc.date.embargoend |
|
it_IT |
dc.provenance.upload |
Gianluca Manfe' (849688@stud.unive.it), 2019-02-18 |
it_IT |
dc.provenance.plagiarycheck |
Diana Barro (d.barro@unive.it), 2019-03-04 |
it_IT |