Time-varying granger causality tests for applications in global crude oil markets: A study on the DCC-MGARCH Hong test
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DOI: 10.2139/ssrn.3941778
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More about this item
Keywords
Granger Causality; Hong test; DCC-GARCH; Oil market; COVID-19;All these keywords.
JEL classification:
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
- Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2021-10-25 (Econometrics)
- NEP-ENE-2021-10-25 (Energy Economics)
- NEP-ETS-2021-10-25 (Econometric Time Series)
- NEP-ORE-2021-10-25 (Operations Research)
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