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Jeroen V K Rombouts

Biographic Data

ID8920150
NAMEJeroen V K Rombouts
GIVEN NAMESJeroen V K
FAMILY NAMERombouts
SIGNATUREROMBOUTS J V K
AFFILIATIONSUCLouvain
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Sparse change‐point VAR models

    Open Access•Arnaud Dufays, Zhuo Li et al.•ARTICLE•Journal of Applied Econometrics•2021

    Change‐point (CP) VAR models face a dimensionality curse due to the proliferation of parameters that arises when new breaks are detected. We introduce the Sparse CP‐VAR model which determines which parameters truly vary when a break is detected. By doing so, the number of new parameters to be estimated at each regime is drastically reduced and the break dynamics becomes easier to be interpreted. The Sparse CP‐VAR model disentangles the dynamics o…

  • Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality

    Taoufik Bouezmarni, Jeroen V K Rombouts et al.•ARTICLE•Journal of Business and Economic…•2012

    This article proposes a new nonparametric test for conditional independence that can directly be applied to test for Granger causality. Based on the comparison of copula densities, the test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in general settings since there is no restriction on the dimension of the time series data. In fact, to apply the test, only a bandwidth is neede…

  • Multivariate GARCH models

    Open Access•Luc Bauwens, Sébastien Laurent et al.•ARTICLE•Journal of Applied Econometrics•2006

    This paper surveys the most important developments in multivariate ARCH‐type modelling. It reviews the model specifications and inference methods, and identifies likely directions of future research. Copyright © 2006 John Wiley & Sons, Ltd.

No prominent works on this page.

  • Multivariate GARCH models

    Open Access•Luc Bauwens, Sébastien Laurent et al.•ARTICLE•Journal of Applied Econometrics•2006

    This paper surveys the most important developments in multivariate ARCH‐type modelling. It reviews the model specifications and inference methods, and identifies likely directions of future research. Copyright © 2006 John Wiley & Sons, Ltd.

  • Nonparametric Copula-Based Test for Conditional Independence with Applications to Granger Causality

    Taoufik Bouezmarni, Jeroen V K Rombouts et al.•ARTICLE•Journal of Business and Economic…•2012

    This article proposes a new nonparametric test for conditional independence that can directly be applied to test for Granger causality. Based on the comparison of copula densities, the test is easy to implement because it does not involve a weighting function in the test statistic, and it can be applied in general settings since there is no restriction on the dimension of the time series data. In fact, to apply the test, only a bandwidth is neede…

  • Sparse change‐point VAR models

    Open Access•Arnaud Dufays, Zhuo Li et al.•ARTICLE•Journal of Applied Econometrics•2021

    Change‐point (CP) VAR models face a dimensionality curse due to the proliferation of parameters that arises when new breaks are detected. We introduce the Sparse CP‐VAR model which determines which parameters truly vary when a break is detected. By doing so, the number of new parameters to be estimated at each regime is drastically reduced and the break dynamics becomes easier to be interpreted. The Sparse CP‐VAR model disentangles the dynamics o…

Econometrics (3 works) · Economics (3 works) · Financial Risk and Volatility Modeling (3 works) · Computer Science (2 works) · Mathematics (2 works) · Monetary Policy and Economic Impact (2 works) · Statistics (2 works) · Algorithm (1 work) · Applied Mathematics (1 work) · Artificial Intelligence (1 work)

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