This thesis presents instruments and methodologies for fi nancial
risk management applications:
A method of estimating instantaneous volatility from transaction
data is developed. It explicitly accounts for microstructure noise.
Furthermore, an econometric method is introduced which
copes easily with short-term patterns in time series such as the
intraday volatility patterns.
Regarding extreme events, important aspects of Lévy processes
are discussed. A univariate approximation of Student Lévy processes is developed. In the context of multivariate Lévy processes, a modified, unbiased simulation algorithm is presented.
The concept of jump tail dependence is discussed, which
is a property of the Lévy copula. Especially on the short-term
horizon, it is of special relevance for optimal asset allocation.
Asymptotical results are derived, which allow for the estimation
of jump tail dependence.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Da: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germania
Broschiert. Condizione: Gut. 140 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 235. Codice articolo 2298596
Quantità: 1 disponibili
Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, Germania
Condizione: gut. 2008. Contributions to Short-Term Financial Risk Management: Volatility in High Frequency Data, Levy Processes and the Dependence of Jumps. In deutscher Sprache. pages. Codice articolo BN427680
Quantità: 1 disponibili