{"id":2552,"date":"2026-08-16T15:24:20","date_gmt":"2026-08-16T12:24:20","guid":{"rendered":"https:\/\/sites.uwasa.fi\/mfjuva\/?page_id=2552"},"modified":"2026-08-16T15:24:20","modified_gmt":"2026-08-16T12:24:20","slug":"a-comparative-garch","status":"publish","type":"page","link":"https:\/\/sites.uwasa.fi\/mfjuva\/all-issues\/a-comparative-garch\/","title":{"rendered":""},"content":{"rendered":"<h2>A Comparative GARCH Analysis of Macroeconomic Variables and Returns on Modelling the Kurtosis of FTSE 100 Implied Volatility Index<\/h2>\n<p>Multinational Finance Journal, 2018, vol. 22, no. 3\/4, pp. 119\u2013172<\/p>\n<p style=\"align-items: center;gap: 12px;font-weight: bold\"><a href=\"https:\/\/sites.uwasa.fi\/mfjuva\/wp-content\/blogs.dir\/4\/files\/sites\/231\/2025\/02\/MJ0p1djot83pv1i4fv2bs9lmh7niv4.pdf\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2383\" src=\"https:\/\/sites.uwasa.fi\/mfjuva\/wp-content\/blogs.dir\/4\/files\/sites\/231\/2026\/07\/download-blue-button-300x89.png\" alt=\"\" width=\"139\" height=\"41\" srcset=\"https:\/\/sites.uwasa.fi\/mfjuva\/wp-content\/blogs.dir\/4\/files\/sites\/231\/2026\/07\/download-blue-button-300x89.png 300w, https:\/\/sites.uwasa.fi\/mfjuva\/wp-content\/blogs.dir\/4\/files\/sites\/231\/2026\/07\/download-blue-button.png 355w\" sizes=\"(max-width: 139px) 100vw, 139px\" \/><\/a><\/p>\n<p><strong>Abdulilah Ibrahim Alsheikhmubarak<\/strong>, <em>Royal Holloway, University of London, UK<\/em><\/p>\n<p><strong>Evangelos Giouvris<\/strong>, <em>Royal Holloway, University of London, UK<\/em><\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Abstract:<\/strong><\/h3>\n<p>Modelling the volatility (or kurtosis) of the implied volatility is an important aspect of financial markets when analysing market consensus and risk strategies. The purpose of this study is to evaluate the ability of symmetric and asymmetric GARCH systems to model the volatility of the FTSE 100 Implied Volatility Index (IV). We use GARCH, EGARCH, GJR-GARCH and GARCH-MIDAS to model variance. We also introduce FTSE 100 returns and several macroeconomic variables (UK industrial production, 3M LIBOR, GBP effective exchange rate and unemployment rate) to investigate whether they explain variance. Our results show that market returns is a major explanatory factor besides macroeconomic variables. Also, GARCH (1,1) outperforms other asymmetric models unless there is exceptionally high volatility such as the crisis of 2008 in which case EGARCH performs better. GJR-GARCH is outperformed by all other models. GARCH-MIDAS shows that both macroeconomic variables and market returns are useful when estimating IV.<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Keywords:<\/strong><\/h3>\n<p>FTSE 100 implied volatility index (IV); GARCH; EGARCH; GJR-GARCH; GARCH-MIDAS; FTSE 100 index returns; macroeconomic variables<\/p>\n<p>&nbsp;<\/p>\n<h3><strong>Citation (APA):<\/strong><\/h3>\n<p data-path-to-node=\"1\">Alsheikhmubarak, A. I., &amp; Giouvris, E. (2018). A comparative GARCH analysis of macroeconomic variables and returns on modelling the kurtosis of FTSE 100 implied volatility index. <em data-start=\"204\" data-end=\"239\">Multinational Finance Journal, 22<\/em>(3\/4), 119\u2013172.<\/p>\n<h3><strong>Citation (Harvard):<\/strong><\/h3>\n<div class=\"qMYqUG_convSearchResultHighlightRoot\">\n<div class=\"\" data-turn-id-container=\"request-6a4d709d-d18c-83ed-83c9-0a01bb24e020-7\" data-is-intersecting=\"true\">\n<section class=\"text-token-text-primary w-full focus:outline-none has-data-writing-block:pointer-events-none [&amp;:has([data-writing-block])&gt;*]:pointer-events-auto R6Vx5W_threadScrollVars scroll-mb-[calc(var(--scroll-root-safe-area-inset-bottom,0px)+var(--thread-response-height))] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]\" dir=\"auto\" data-turn-id=\"request-6a4d709d-d18c-83ed-83c9-0a01bb24e020-7\" data-turn-id-container=\"request-6a4d709d-d18c-83ed-83c9-0a01bb24e020-7\" data-testid=\"conversation-turn-78\" data-turn=\"assistant\">\n<div class=\"text-base my-auto mx-auto pb-8 [--thread-content-margin:var(--thread-content-margin-xs,calc(var(--spacing)*4))] @w-sm\/main:[--thread-content-margin:var(--thread-content-margin-sm,calc(var(--spacing)*6))] @w-lg\/main:[--thread-content-margin:var(--thread-content-margin-lg,calc(var(--spacing)*16))] px-(--thread-content-margin)\">\n<div class=\"[--thread-content-max-width:40rem] @w-lg\/main:[--thread-content-max-width:48rem] mx-auto max-w-(--thread-content-max-width) flex-1 group\/turn-messages focus-visible:outline-hidden relative flex w-full min-w-0 flex-col agent-turn\" data-conversation-screenshot-content=\"\">\n<div class=\"flex max-w-full flex-col gap-4 grow\">\n<div class=\"min-h-8 text-message relative flex w-full flex-col items-end gap-2 text-start break-words whitespace-normal outline-none keyboard-focused:focus-ring [.text-message+&amp;]:mt-1\" dir=\"auto\" data-message-author-role=\"assistant\" data-message-id=\"1ba56f98-6d47-4d64-b2b5-5e59981b3d51\" data-message-model-slug=\"gpt-5-6\" data-turn-start-message=\"true\">\n<div class=\"flex w-full flex-col gap-1 empty:hidden\">\n<div class=\"markdown prose dark:prose-invert wrap-break-word w-full light markdown-new-styling\">\n<p class=\"PDq2pG_selectionAnchorContainer\" data-start=\"285\" data-end=\"516\" data-is-last-node=\"\" data-is-only-node=\"\">Alsheikhmubarak, A.I. and Giouvris, E., 2018. A Comparative GARCH Analysis of Macroeconomic Variables and Returns on Modelling the Kurtosis of FTSE 100 Implied Volatility Index. <em data-start=\"463\" data-end=\"494\">Multinational Finance Journal<\/em>, 22(3\/4), pp.119\u2013172.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>A Comparative GARCH Analysis of Macroeconomic Variables and Returns on Modelling the Kurtosis of FTSE 100 Implied Volatility Index Multinational Finance Journal, 2018, vol. 22, no. 3\/4, pp. 119\u2013172 Abdulilah Ibrahim Alsheikhmubarak, Royal Holloway, University of London, UK Evangelos Giouvris, Royal Holloway, University of London, UK &nbsp; Abstract: Modelling the volatility (or kurtosis) of the [&hellip;]<\/p>\n","protected":false},"author":621,"featured_media":0,"parent":221,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-2552","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/pages\/2552"}],"collection":[{"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/users\/621"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/comments?post=2552"}],"version-history":[{"count":1,"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/pages\/2552\/revisions"}],"predecessor-version":[{"id":2553,"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/pages\/2552\/revisions\/2553"}],"up":[{"embeddable":true,"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/pages\/221"}],"wp:attachment":[{"href":"https:\/\/sites.uwasa.fi\/mfjuva\/wp-json\/wp\/v2\/media?parent=2552"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}