Multivariate Regime Switching GARCH Model Application to Portfolio and Risk Management
Regime switching dynamic correlation (RSDC) model allows the correlations to be constant with the regimes themselves however, it differs across regimes. RSDC model has retained many good properties from CCC multivariate GARCH and DCC multivariate GARCH. For example, RSDC does not suffer from the curse of dimensional due to the two steps estimation for volatility. Positive semi definite is also easy to achieve from its decomposition from covariances. In this research, the feasibility of the constant correlations assumptions have been tested using Lagrange Multiplier test developed by Tse (2000) on the RSDC model
Year of publication: |
2020
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Authors: | Khoo, Zhi De |
Publisher: |
[2020]: [S.l.] : SSRN |
Subject: | ARCH-Modell | ARCH model | Portfolio-Management | Portfolio selection | Risikomanagement | Risk management | Theorie | Theory | Multivariate Analyse | Multivariate analysis | Volatilität | Volatility | Schätzung | Estimation | Stochastischer Prozess | Stochastic process |
Saved in:
freely available
Extent: | 1 Online-Ressource (36 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments April 19, 2020 erstellt |
Other identifiers: | 10.2139/ssrn.3580106 [DOI] |
Classification: | C34 - Truncated and Censored Models |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012836486
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