Andrada-Félix, JuliánFernández-Pérez, AdriánFernández Rodríguez, Fernando, 1954-Sosvilla Rivero, Simón2018-10-052018-10-052018https://hdl.handle.net/2445/125087This paper examines the interconnection between four implied volatility indices representative of the investors' consensus view of expected stock market volatility at different maturities during the period January 3, 2011-May 4, 2018. To this end, we first perform a static analysis to measure the total volatility connectedness in the entire period using a framework proposed by Diebold and Yilmaz (2014). Second, we apply a dynamic analysis to evaluate both the net directional connectedness for each market using the TVP-VAR connectedness approach developed by Antonakakis and Gabauer (2017). Our results suggest that a 72.27%, of the total variance of the forecast errors is explained by shocks across the examined investor time horizons, indicating that the remainder 27.73% 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 a superior performance of the TVP-VAR approach to connectedness respect to the original one proposed by Diebold and Yilmaz (2014)42 p.application/pdfengcc-by-nc-nd, (c) Andrada-Félix et al., 2018http://creativecommons.org/licenses/by-nc-nd/3.0/es/Mercat financerAnàlisi de regressióAnàlisi de variànciaFinancial marketRegression analysisAnalysis of varianceinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/openAccess