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Money and foreign exchange markets dynamics in Nigeria : a multivariate GARCH approach
Atoi, Ngozi V.; Nwambeke, Chinedu G. - In: CBN journal of applied statistics 12 (2021) 1, pp. 109-138
is utilized to investigate shocks and volatility spillover of the rates. The estimated DCC-GARCH (1, 1) reveals that …, 1) model. Furthermore, the effects of news (shocks spillover) are bi-directional across the markets. However, volatility … spillover is unidirectional, from exchange rate to interest rate, suggesting that, calming the volatility in foreign exchange …
Persistent link: https://www.econbiz.de/10012604406
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Volatility spillover and multivariate volatility impulse response analysis of GFC news events
Allen, David E.; McAleer, Michael; Powell, Robert; … - 2016
) and the subsequent European Sovereign Debt Crisis (ESDC). The spillover index captures the transmission of volatility to …This paper applies two measures to assess spillovers across markets: the Diebold Yilmaz (2012) Spillover Index and the … Hafner and Herwartz (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets …
Persistent link: https://www.econbiz.de/10011556166
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Realized Wishart-GARCH : a score-driven multi-Asset volatility model
Hansen, Peter Reinhard; Janus, Paweł; Koopman, Siem Jan - 2016
We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...
Persistent link: https://www.econbiz.de/10011520881
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A parsimonious test of constancy of a positive definite correlation matrix in a multivariate time-varying GARCH model
Kang, Jian; Jakobsen, Johan Stax; Silvennoinen, Annastiina - In: Econometrics : open access journal 10 (2022) 3, pp. 1-41
We construct a parsimonious test of constancy of the correlation matrix in the multivariate conditional correlation GARCH model, where the GARCH equations are time-varying. The alternative to constancy is that the correlations change deterministically as a function of time. The alternative is a...
Persistent link: https://www.econbiz.de/10013459316
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Building multivariate time-varying smooth transition correlation GARCH models, with an application to the four largest Australian banks
Hall, Anthony; Silvennoinen, Annastiina; Teräsvirta, Timo - In: Econometrics : open access journal 11 (2023) 1, pp. 1-37
This paper proposes a methodology for building Multivariate Time-Varying STCC-GARCH models. The novel contributions in this area are the specification tests related to the correlation component, the extension of the general model to allow for additional correlation regimes, and a detailed...
Persistent link: https://www.econbiz.de/10014281494
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A two-factor model for electricity prices with dynamic volatility
Schlüter, Stephan - 2009
(2000) is applied but generalised to account for weekly periodicities and time-varying volatility. Eventually we find a …
Persistent link: https://www.econbiz.de/10003894769
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A dynamic multivariate heavy-tailed model for time-varying volatilities and correlations
Creal, Drew; Koopman, Siem Jan; Lucas, André - 2010
We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
Persistent link: https://www.econbiz.de/10011380135
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Long memory dynamics for multivariate dependence under heavy tails
Janus, Paweł; Koopman, Siem Jan; Lucas, André - 2011
Persistent link: https://www.econbiz.de/10009720703
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A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations
Creal, Drew - 2010
We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...
Persistent link: https://www.econbiz.de/10013146598
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Change-Point Detection in the Covariance Structure of Multivariate Volatility Models
Barassi, Marco R. - 2017
We propose semi-parametric CUSUM tests to detect a change point in the covariance structure of non-linear multivariate models with dynamically evolving volatilities and correlations. The asymptotic distributions of the proposed statistics are derived under mild conditions. We discuss the...
Persistent link: https://www.econbiz.de/10012945121