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Technische Universität Braunschweig >
Institut für Finanzwirtschaft, Technische Universität Braunschweig >
Working Paper Series, Institut für Finanzwirtschaft, TU Braunschweig >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10419/55240
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Full metadata record
| DC Field | | Value | | Language |
| dc.contributor.author | | Gürtler, Marc | | en_US |
| dc.contributor.author | | Kreiss, Jens-Peter | | en_US |
| dc.contributor.author | | Rauh, Ronald | | en_US |
| dc.date.accessioned | | 2012-02-08 | | en_US |
| dc.date.accessioned | | 2012-02-10T15:38:46Z | | - |
| dc.date.available | | 2012-02-10T15:38:46Z | | - |
| dc.date.issued | | 2009 | | en_US |
| dc.identifier.uri | | http://hdl.handle.net/10419/55240 | | - |
| dc.description.abstract | | A non-stationary regression model for financial returns is examined theoretically in this paper. Volatility dynamics are modelled both exogenously and deterministic, captured by a nonparametric curve estimation on equidistant centered returns. We prove consistency and asymptotic normality of a symmetric variance estimator and of a one-sided variance estimator analytically, and derive remarks on the bandwidth decision. Further attention is paid to asymmetry and heavy tails of the return distribution, implemented by an asymmetric version of the Pearson type VII distribution for random innovations. By providing a method of moments for its parameter estimation and a connection to the Student-t distribution we offer the framework for a factor-based VaR approach. The approximation quality of the non-stationary model is supported by simulation studies. | | en_US |
| dc.language.iso | | ger | | en_US |
| dc.publisher | | Institut für Finanzwirtschaft, Technische Universität Braunschweig Braunschweig | | en_US |
| dc.relation.ispartofseries | | Working papers // Institut für Finanzwirtschaft, Technische Universität Braunschweig IF31V2 | | en_US |
| dc.subject.jel | | C14 | | en_US |
| dc.subject.jel | | C51 | | en_US |
| dc.subject.jel | | C52 | | en_US |
| dc.subject.ddc | | 330 | | en_US |
| dc.subject.keyword | | heteroscedastic asset returns | | en_US |
| dc.subject.keyword | | non-stationarity | | en_US |
| dc.subject.keyword | | nonparametric regression | | en_US |
| dc.subject.keyword | | volatility | | en_US |
| dc.subject.keyword | | innovation modelling | | en_US |
| dc.subject.keyword | | asymmetric heavy-tails | | en_US |
| dc.subject.keyword | | distributional forecast | | en_US |
| dc.subject.keyword | | Value at Risk (VaR) | | en_US |
| dc.title | | A non-stationary approach for financial returns with nonparametric heteroscedasticity | | en_US |
| dc.type | | Working Paper | | en_US |
| dc.identifier.ppn | | 684930889 | | en_US |
| dc.rights | | http://www.econstor.eu/dspace/Nutzungsbedingungen | | en_US |
| Appears in Collections: | | Working Paper Series, Institut für Finanzwirtschaft, TU Braunschweig
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