<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-29T07:31:02Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/12294" metadataPrefix="oai_dc">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/12294</identifier><datestamp>2025-06-05T14:12:18Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Fear connectedness among asset classes</dc:title>
   <dc:creator>Andrada-Félix, Julián</dc:creator>
   <dc:creator>Fernández-Pérez, Adrian</dc:creator>
   <dc:creator>Sosvilla Rivero, Simón Javier</dc:creator>
   <dc:subject>C53</dc:subject>
   <dc:subject>E44</dc:subject>
   <dc:subject>F31</dc:subject>
   <dc:subject>G15</dc:subject>
   <dc:subject>Implied volatility indices</dc:subject>
   <dc:subject>financial market linkages</dc:subject>
   <dc:subject>connectedness</dc:subject>
   <dc:subject>VAR</dc:subject>
   <dc:subject>Variance decomposition.</dc:subject>
   <dc:subject>Econometría (Economía)</dc:subject>
   <dc:subject>Economía internacional</dc:subject>
   <dc:subject>Macroeconomía</dc:subject>
   <dc:subject>Mercados bursátiles y financieros</dc:subject>
   <dc:subject>5302 Econometría</dc:subject>
   <dc:subject>5310 Economía Internacional</dc:subject>
   <dc:subject>5307.14 Teoría Macroeconómica</dc:subject>
   <dc:description>The authors wish to thank two anonymous referees and the editor for their helpful comments and suggestions on a previous draft of this article, which have enabled us to introduce substantial improvements. Julián Andrada-Félix gratefully acknowledges warm hospitality and financial support of the Department of Finance at the Auckland University of Technology during his research visit. Simón Sosvilla-Rivero thanks the members of the Department of Economics at the University of Bath for their
warm hospitality during his research visit.</dc:description>
   <dc:description>This study investigates the interconnection between five implied volatility indices representative of different financial markets during the period 1 August 2008–29 December 2017. To this end, we first perform a static and dynamic analysis to measure the total volatility connectedness in the entire period (the system-wide approach) using a framework recently proposed by Diebold and Yilmaz. Second, we make use of a dynamic analysis to evaluate both the net directional connectedness for each market and all net pairwise directional connectedness. Our results suggest that a 38.99%, of the total variance of the forecast errors is explained by shocks across markets, indicating that the remainder 61.01% of the variation is due to idiosyncratic shocks. Furthermore, we find that volatility connectedness varies over time, with a surge during periods of increasing economic and financial instability. Finally, we also document frequently switch between a net volatility transmitter and a net volatility receiver role in the five markets under study.</dc:description>
   <dc:description>Ministerio de Economía y Competitividad (MINECO)</dc:description>
   <dc:description>Auckland University of Technology</dc:description>
   <dc:description>Banco de España</dc:description>
   <dc:description>Ministerio de Educación, Cultura y Deportes (MECD)</dc:description>
   <dc:description>Depto. de Análisis Económico y Economía Cuantitativa</dc:description>
   <dc:description>Fac. de Ciencias Económicas y Empresariales</dc:description>
   <dc:description>TRUE</dc:description>
   <dc:description>pub</dc:description>
   <dc:date>2023-06-17T12:29:54Z</dc:date>
   <dc:date>2023-06-17T12:29:54Z</dc:date>
   <dc:date>2018</dc:date>
   <dc:type>journal article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/12294</dc:identifier>
   <dc:identifier>1466-4283</dc:identifier>
   <dc:identifier>10.1080/00036846.2018.1441521</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>(ECO2016-76203-C2-2-P)</dc:relation>
   <dc:relation>(VRF2016-12)</dc:relation>
   <dc:relation>(PR71/15-20229)</dc:relation>
   <dc:relation>(PRX16/00261)</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Taylor &amp; Francis</dc:publisher>
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