A novel nonlinear value-at-risk method for modeling risk of option portfolio with multivariate mixture of normal distributions
Year of publication: |
2013
|
---|---|
Authors: | Chen, Rongda ; Yu, Lean |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 35.2013, p. 796-804
|
Subject: | Finance | Option portfolio | Nonlinear VaR | Multivariate mixture of normal distributions | Fourier-Inversion method | Portfolio-Management | Portfolio selection | Risikomaß | Risk measure | Statistische Verteilung | Statistical distribution | Multivariate Analyse | Multivariate analysis | Optionsgeschäft | Option trading | Monte-Carlo-Simulation | Monte Carlo simulation | Optionspreistheorie | Option pricing theory | ARCH-Modell | ARCH model | Risikomanagement | Risk management |
-
The impact of extreme events on portfolio in financial risk management
Chuangchid, K., (2017)
-
Ausín, M. Concepción, (2014)
-
A time-varying jump tail risk measure using high-frequency options data
Ubukata, Masato, (2022)
- More ...
-
Chen, Rongda, (2013)
-
Linkages and spillovers between internet finance and traditional finance : evidence from China
Chen, Rongda, (2020)
-
Missing data preprocessing in credit classification : one-hot encoding or imputation?
Yu, Lean, (2022)
- More ...