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  "Title": "Multivariate Quantile-on-Quantile Granger Causality",
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  "Authors@R": "c(\nperson(\"Merwan\", \"Roudane\",\nemail = \"merwanroudane920@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\")),\nperson(\"Avik\", \"Sinha\", role = \"ctb\",\ncomment = \"Original multivariate QQ causality methodology\"),\nperson(\"Nicholas\", \"Sim\", role = \"ctb\",\ncomment = \"Original QQ regression methodology\"),\nperson(\"Hongtao\", \"Zhou\", role = \"ctb\",\ncomment = \"Original QQ regression methodology\"))",
  "Description": "Implements bivariate and Multivariate Quantile-on-Quantile\nGranger causality tests building on the Quantile-on-Quantile\nregression framework of Sim and Zhou (2015)\n<doi:10.1016/j.jbankfin.2015.01.013> and the quantile Granger\ncausality test of Troster (2018)\n<doi:10.1080/07474938.2016.1172400>. The bivariate test\nestimates the local-linear slope in the quantile regression of\ny_t on lagged x_t with lagged y_t as control, using Gaussian\nkernel weights, and tests it against zero by paired bootstrap.\nThe multivariate (conditional) test additionally conditions on\na set of moderators Z and optional x times Z interaction terms,\nin the spirit of Sinha, Ghosh, Hussain, Nguyen and Das (2023)\n<doi:10.1016/j.eneco.2023.107021>. A Sup-Wald summary across\nthe quantile grid is also provided. Heatmaps and 3D surfaces\ndefault to the 'MATLAB' 'Parula' colour map.",
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  "Date/Publication": "2026-06-01 18:26:36 UTC",
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      "title": "mqqcause: Multivariate Quantile-on-Quantile Granger Causality",
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