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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

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

Robust tests for ARCH in the presence of a misspecified conditional mean : a comparison of nonparametric approaches

Maki, Daiki; Ota, Yasushi - In: Cogent economics & finance 9 (2021) 1, pp. 1-18

This study compares the size and power of autoregressive conditional heteroskedasticity (ARCH) tests that are robust to the presence of a misspecified conditional mean. The approaches employed are based on two nonparametric regressions for the conditional mean: an ARCH test with a...

Persistent link: https://www.econbiz.de/10013183738

Integrated modified OLS estimation and fixed-b inference for cointegrating multivariate polynomial regressions

Vogelsang, Timothy J.; Wagner, Martin - 2024

This paper shows that the integrated modified OLS (IM-OLS) estimator developed for cointegrating linear regressions in Vogelsang and Wagner (2014a) can be straightforwardly extended to cointegrating multivariate polynomial regressions. These are regression models that include as explanatory...

Persistent link: https://www.econbiz.de/10014519282

Volatility transmission across financial markets : a semiparametric analysis

Kolaiti, Theoplasti; Mboya, Mwasi; Sibbertsen, Philipp - In: Journal of risk and financial management : JRFM 13 (2020) 8/160, pp. 1-13

small minority of different cases. Investigating further we find that all volatility series show persistence breaks during …

Persistent link: https://www.econbiz.de/10012322368

Predicting volatility of bitcoin returns with ARCH, GARCH and EGARCH models

Yildirim, Hakan; Bekun, Festus Victor - In: Future Business Journal 9 (2023), pp. 1-8

market uncertainty and volatility of the investment instruments. Thus, the prediction of the uncertainty and volatilities of … to identify the best fit model that can predict the volatility of return of Bitcoin, which is in high demand as an … the residuals of the average equation model selected have ARCH effect. Volatility of Bitcoin return series after detection …

Persistent link: https://www.econbiz.de/10014382180

Asymptotic and finite sample properties for multivariate rotated GARCH models

Asai, Manabu; Chang, Chia-Lin; McAleer, Michael; … - In: Econometrics : open access journal 9 (2021) 2, pp. 1-21

This paper derives the statistical properties of a two-step approach to estimating multivariate rotated GARCH-BEKK (RBEKK) models. From the definition of RBEKK, the unconditional covariance matrix is estimated in the first step to rotate the observed variables in order to have the identity...

Persistent link: https://www.econbiz.de/10012547429

L1 regularization for high-dimensional multivariate GARCH models

Yao, Sijie; Zou, Hui; Xing, Haipeng - In: Risks : open access journal 12 (2024) 2, pp. 1-29

tuning parameters. In addition, we apply the proposed framework to analyze volatility spillover and portfolio optimization …

Persistent link: https://www.econbiz.de/10014497339

Specification tests for non-Gaussian maximum likelihood estimators

Fiorentini, Gabriele; Sentana, Enrique - In: Quantitative economics : QE ; journal of the … 12 (2021) 3, pp. 683-742

We propose generalized DWH specification tests which simultaneously compare three or more likelihood-based estimators in multivariate conditionally heteroskedastic dynamic regression models. Our tests are useful for Garch models and in many empirically relevant macro and finance applications...

Persistent link: https://www.econbiz.de/10012598494

Volatility spillovers among cryptocurrencies

Smales, Lee A. - In: Journal of risk and financial management : JRFM 14 (2021) 10, pp. 1-12

-MGARCH model to examine the return and volatility spillovers across three distinct classes of cryptocurrencies: coins, tokens, and …-off of March 2020, and that both ARCH and GARCH effects play an important role in determining conditional volatility among … running in the other direction. Our results suggest that USDT does not currently play an important role in volatility …

Persistent link: https://www.econbiz.de/10012792439